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Fault Tree Analysis and Failure Diagnosis of Marine Diesel Engine Turbocharger System

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The reliability of marine propulsion systems depends on the reliability of several subsystems of a diesel engine. The scavenge air system is one of the crucial subsystems of the marine engine with a turbocharger as an essential component. In this paper, the failures of a turbocharger are analyzed through the fault tree analysis (FTA) method to estimate the reliability of the system and to predict the cause of failures. The quantitative method is used for assessing the probability of faults occurring in the turbocharger system. The main failures of a scavenge air subsystem , such as air filter blockage, compressor fouling, turbine fouling (exhaust side), cooler tube blockage and cooler air side blockage, are simulated on a Wärtsilä-Transas engine simulator for a marine two-stroke diesel engine. The results obtained through the simulation can provide improvement in the maintenance plan, reliability of the propulsion system and optimization of turbocharger operation during exploitation time.
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Journal of
Marine Science
and Engineering
Article
Fault Tree Analysis and Failure Diagnosis of Marine
Diesel Engine Turbocharger System
Vlatko Kneževi´c 1, *, Josip Orovi´c 1, Ladislav Stazi´c 2and Jelena ˇ
Culin 1
1Maritime Department, University of Zadar, Mihovila Pavlinovi´ca 1, 23000 Zadar, Croatia;
jorovic@unizd.hr (J.O.); jculin@unizd.hr (J. ˇ
C.)
2Faculty of Maritime Studies, University of Split, R. Boškovi´ca 37, 21000 Split, Croatia; lstazic@pfst.hr
*Correspondence: vknezevi1@unizd.hr
Received: 10 November 2020; Accepted: 7 December 2020; Published: 9 December 2020


Abstract:
The reliability of marine propulsion systems depends on the reliability of several sub-systems
of a diesel engine. The scavenge air system is one of the crucial sub-systems of the marine engine
with a turbocharger as an essential component. In this paper, the failures of a turbocharger are
analyzed through the fault tree analysis (FTA) method to estimate the reliability of the system
and to predict the cause of failures. The quantitative method is used for assessing the probability
of faults occurring in the turbocharger system. The main failures of a scavenge air sub-system,
such as air filter blockage, compressor fouling, turbine fouling (exhaust side), cooler tube blockage
and cooler air side blockage, are simulated on a Wärtsilä-Transas engine simulator for a marine
two-stroke diesel engine. The results obtained through the simulation can provide improvement in
the maintenance plan, reliability of the propulsion system and optimization of turbocharger operation
during exploitation time.
Keywords:
reliability; fault tree analysis; failure diagnosis; diesel engine turbocharger; maintenance
1. Introduction
The reliability and safety of marine propulsion have a major role during the exploitation period
which cannot be neglected. The safe operation of the vessel depends on the reliability of the main
engine propulsion system. The reliability of any component or system is defined as the probability that
a component or system will perform a required function for a given period of time when used under
stated operating conditions [
1
]. The safety factor of a system is usually related to reliability and it can
be defined as the avoidance of conditions that can cause injury, loss of life or damage to equipment
and the surrounding environment [
2
]. Due to the complexity of the marine main engines and their
sub-systems, it is dicult to predict when and how many failures will occur during a voyage.
For early detecting and avoiding unnecessary failures, the method of fault diagnosis is used.
The main objectives of fault diagnosis are detection, isolation and fault analyses. The main tasks of
fault diagnosis are to determine the type of faults, size, time of failure and localization of faults [
3
].
It is necessary during the exploitation of the ship to continuously monitor and record the technical
conditions and parameters of all main and auxiliary equipment. Once the operating parameters
have been assessed, the reliability and availability of any component can be estimated and measures
for reducing the risk of failure can be considered. Furthermore, with a detailed failure diagnosis,
the maintenance plan of any component of the system can be optimized and enhanced. An improved
maintenance plan can reduce life-cycle costs such as the cost of preventive and corrective maintenance,
cost of materials and energy and cost of spare parts transport and installation. Nowadays, the main
challenge for turbocharger manufacturers is to increase eciency in terms of fuel economy and
environmental performance.
J. Mar. Sci. Eng. 2020,8, 1004; doi:10.3390/jmse8121004 www.mdpi.com/journal/jmse
J. Mar. Sci. Eng. 2020,8, 1004 2 of 19
Failure diagnosis in this paper is focused on the turbocharger of a marine diesel two-stroke
MAN 6S60MC-C engine. The purpose of this paper is to diagnose the most frequent symptoms of
turbocharger faults using a deductive method fault tree analysis (FTA) and to simulate these failures
on a Wärtsilä-Transas engine simulator to optimize operating conditions and improve the reliability of
the turbocharger by avoiding undesirable events.
Literature Overview
Because turbochargers are the most important part of the scavenge system, they must have high
reliability to ensure the reliability of the main engine, which is also concluded in research papers [
4
]
and [
5
], where the reliability of the main engine subsystems is estimated, including turbocharger
failure. It is concluded that turbocharger failure can have a major impact on the main engine operation
and proper matching of the turbocharger and main engine is highly important. The matching method
with an electric turbo compound for a two-stroke marine engine is proposed in article [
6
] and the
method for the eective mistuning identification of marine turbocharger bladed discs is discussed
in article [
7
]. These two methods can improve marine turbocharger eciency but mostly in the
manufacturing period.
Adamkiewicz [
8
] analyzed the relations between cause and eect of operation faults in a few
turbocharger models with a method based on expert knowledge and operational diagnostic experience.
Monieta [
9
] used a method with acceleration vibration signals for assessing the technical condition of
turbochargers in three four-stroke engines. The research has shown that the diagnostic parameters of
technical condition are more reliable with this method than the resource of the operating hours of the
engine. In [
10
], marine propulsion system reliability is estimated using fault tree analysis. The failure
probability of the entire ship propulsion system is hard to estimate due to the complexity of the system
and each component has a specified life-cycle and maintenance interval. This method is suitable for
the main engine subsystems or individual components of the engine.
The FTA method is used in a research study [
11
] for the risk assessment of the container terminal
operations. The results have shown that human factors were the most common cause of accidents due
to negligence in operating with equipment or vehicles. This method is also used in research paper [
12
]
as a tool for modeling the marine main engine reliability.
The research paper [
13
] recommends reliability-centered maintenance (RCM) methodology to
optimize the failure database of marine diesel engines. This methodology is useful to obtain an accurate
and reliable database for predicting failures. However, this research is done on a four-stroke marine
diesel generator with a power value of 1200 kW.
The analysis of failures during the early operation period of a ship is presented in article [
14
].
The observed marine engine was two-stroke, low speed and turbocharged, belonging to a bulk cargo
ship and, moreover, failure analysis was conducted only during the first year of operation.
The various failures of marine engine operations are simulated in study [
15
] on a Konsberg
Maritime engine simulator. The simulated incorrect engine operations were: worn and clogged injector
nozzle, exhaust valve leakage, early injection timing. The importance of early-stage fault detection and
eciency management (planned maintenance) is emphasized.
In most cases, failure analysis and reviews are lacing simulation of faults during the operating
conditions of a vessel. With this simulator-based methodology, it is possible to achieve more ecient
operation of the engine, predict possible faults of the turbocharger system and develop enhanced
maintenance intervals for the system.
2. Two-Stroke Marine Diesel Engine Turbocharger
The turbocharger in marine diesel engines is an essential element of the scavenge air system,
which directly influences the power output, engine eciency and emission of exhaust gases. The main
components of the turbocharger are: turbine wheel (rotor with turbine blades), turbine nozzle ring,
J. Mar. Sci. Eng. 2020,8, 1004 3 of 19
steel shaft (turbine wheel on one end and compressor impeller assembled on the other), air compressor,
silencer, diuser, air filter and cooler.
In this paper, the focus is on the air filter, compressor impeller, turbine wheel and air cooler,
because the engine room crew regularly inspects these components. Additionally, one of the important
components of the turbocharger shaft that aects its reliability and durability are bearings. The key
role of the bearing system is to control the radial and axial motion of the shaft and to reduce friction
losses that have an impact on fuel eciency. Furthermore, with new stringent emission regulations
and demands, the lubricating oil viscosities become lower, so manufacturers must produce bearings
that can maintain the stability of the rotor and avoid increased wear [16].
Leading manufacturers of turbochargers in the shipping industry are MAN Diesel & Turbo,
ABB Turbocharging and Mitsubishi [
17
]. One of the new MAN TCR turbocharger models is shown
in Figure 1. The new TCR turbocharger series has a wide range of applications, with engine power
outputs from 390 to 7000 kW. The upcoming series is TCT which is specifically optimized for IMO Tier
III engines, with a lighter design, superior charging eciency and high air pressure.
J. Mar. Sci. Eng. 2020, 8, x FOR PEER REVIEW 3 of 19
In this paper, the focus is on the air filter, compressor impeller, turbine wheel and air cooler,
because the engine room crew regularly inspects these components. Additionally, one of the
important components of the turbocharger shaft that affects its reliability and durability are bearings.
The key role of the bearing system is to control the radial and axial motion of the shaft and to reduce
friction losses that have an impact on fuel efficiency. Furthermore, with new stringent emission
regulations and demands, the lubricating oil viscosities become lower, so manufacturers must
produce bearings that can maintain the stability of the rotor and avoid increased wear [16].
Leading manufacturers of turbochargers in the shipping industry are MAN Diesel & Turbo, ABB
Turbocharging and Mitsubishi [17]. One of the new MAN TCR turbocharger models is shown in
Figure 1. The new TCR turbocharger series has a wide range of applications, with engine power
outputs from 390 to 7000 kW. The upcoming series is TCT which is specifically optimized for IMO
Tier III engines, with a lighter design, superior charging efficiency and high air pressure.
Some turbochargers are designed with variable turbine area technology which enables the
volume of charge air to be precisely matched to the quantity of fuel injected at all points regarding
an engine’s load and speed range [18]. Aside from mechanical innovations, there is research on using
digital services that can provide reliable and simplified monitoring of turbocharger parameters to
reduce maintenance costs.
Figure 1. The turbocharger of two-stroke marine engine (MAN, TCR 18) [18].
The turbocharger of a simulated engine in this paper is a single stage type and it uses a charging
system with constant pressure. Nowadays, manufacturers are trying to increase the energy efficiency
of engines with two-stage turbochargers that use low- and high-pressure stages to deliver the charge
air to cylinders at high pressure. Two-stage turbochargers can improve engine efficiency and reduce
specific fuel oil consumption (SFOC), and these developments are important to satisfy new IMO NOx
Tier regulations [19].
3. Fault Tree Analysis Method
The applied method for fault detection in this paper is FTA. The FTA method is a graphical
model of the various combinations of faults that will result in the occurrence of the predefined
undesired event [20]. With the FTA, the reliability of the marine propulsion system or any component
of the sub-system can be estimated by calculating failure probability. The main purpose of FTA
studies is to develop comprehensive technology for early fault detection, system life prediction and
enhanced maintenance intervals.
When creating a fault tree model, it is necessary to define the causal connections between events
(failures) of the analyzed system, identify all possible faults that can cause the top event to happen
Figure 1. The turbocharger of two-stroke marine engine (MAN, TCR 18) [18].
Some turbochargers are designed with variable turbine area technology which enables the volume
of charge air to be precisely matched to the quantity of fuel injected at all points regarding an engine’s
load and speed range [
18
]. Aside from mechanical innovations, there is research on using digital
services that can provide reliable and simplified monitoring of turbocharger parameters to reduce
maintenance costs.
The turbocharger of a simulated engine in this paper is a single stage type and it uses a charging
system with constant pressure. Nowadays, manufacturers are trying to increase the energy eciency
of engines with two-stage turbochargers that use low- and high-pressure stages to deliver the charge
air to cylinders at high pressure. Two-stage turbochargers can improve engine eciency and reduce
specific fuel oil consumption (SFOC), and these developments are important to satisfy new IMO NOx
Tier regulations [19].
3. Fault Tree Analysis Method
The applied method for fault detection in this paper is FTA. The FTA method is a graphical model
of the various combinations of faults that will result in the occurrence of the predefined undesired
event [
20
]. With the FTA, the reliability of the marine propulsion system or any component of the
sub-system can be estimated by calculating failure probability. The main purpose of FTA studies is
J. Mar. Sci. Eng. 2020,8, 1004 4 of 19
to develop comprehensive technology for early fault detection, system life prediction and enhanced
maintenance intervals.
When creating a fault tree model, it is necessary to define the causal connections between events
(failures) of the analyzed system, identify all possible faults that can cause the top event to happen and
consider appropriate corrective measures. The reliability of the system (turbocharger) depends on
the occurrence probability of undesired failures of its sub-units. In this case, it is the exhaust and
air side of the turbine, air cooler and turbine shaft. Figure 2shows a fault tree structure for the
analyzed turbocharger.
J. Mar. Sci. Eng. 2020, 8, x FOR PEER REVIEW 4 of 19
and consider appropriate corrective measures. The reliability of the system (turbocharger) depends
on the occurrence probability of undesired failures of its sub-units. In this case, it is the exhaust and
air side of the turbine, air cooler and turbine shaft. Figure 2 shows a fault tree structure for the
analyzed turbocharger.
Figure 2. The fault tree of the turbocharger system.
The first step in the FTA is to define the top event, which is the most unwanted event in the
system. Furthermore, it is important to determine all the events and conditions that leads to the top
event. The fault events that lead to the top event are at the bottom and intermediate events are
connected with logic gates. Logic gates represent the branches of the fault tree with their multiple
inputs and just one output.
The primary events with their related symbols included in this fault tree model are:
Basic events are faults events due to excessive operational stress resulting in the system
element being out of operation [20]. These events do not need any further development and
they are presented graphically with a circle (bottom events of fault tree). Basic events with a
red outline are the ones that are simulated in this research.
Intermediate events are faults that occur as a result of the combination through logic gates.
They are symbolized by a rectangle and they pass through logic gates to the top event.
Undeveloped events are specific faults that are not further developed, either because the
event is of insufficient consequence or because information for the event is unavailable. They
are graphically presented with a diamond.
An OR gate is a logic gate that indicates that an output event occurs if one or more input
events occur.
When the fault tree is constructed it can be used for assessing the probability of the basic events
that are key parameters to determine the probability of the occurrence of the top event. For a better
understanding of the interactive connections between basic and intermediate events, quantitative
Figure 2. The fault tree of the turbocharger system.
The first step in the FTA is to define the top event, which is the most unwanted event in the system.
Furthermore, it is important to determine all the events and conditions that leads to the top event.
The fault events that lead to the top event are at the bottom and intermediate events are connected
with logic gates. Logic gates represent the branches of the fault tree with their multiple inputs and just
one output.
The primary events with their related symbols included in this fault tree model are:
Basic events are faults events due to excessive operational stress resulting in the system element
being out of operation [
20
]. These events do not need any further development and they are
presented graphically with a circle (bottom events of fault tree). Basic events with a red outline
are the ones that are simulated in this research.
Intermediate events are faults that occur as a result of the combination through logic gates.
They are symbolized by a rectangle and they pass through logic gates to the top event.
Undeveloped events are specific faults that are not further developed, either because the event is of
insucient consequence or because information for the event is unavailable. They are graphically
presented with a diamond.
An OR gate is a logic gate that indicates that an output event occurs if one or more input
events occur.
J. Mar. Sci. Eng. 2020,8, 1004 5 of 19
When the fault tree is constructed it can be used for assessing the probability of the basic events
that are key parameters to determine the probability of the occurrence of the top event. For a better
understanding of the interactive connections between basic and intermediate events, quantitative
analysis is used and expressed with Boolean algebra. Using the probability theory, the fault tree model
of the turbocharger can be expressed as:
P(E) =P(E1) +P(E3) +P(E4) (1)
P(E1) =P(A) +P(B) +P(C) +P(D) +P(E2)
P(E2) =P(F) +P(G) P(F G)
P(E3) =P(H|I) =P(H)
P(E4) =P(J) +P(K) +P(L) +P(M) P(J)P(K)P(L)P(M)
The occurrence of the top event P(E), is obtained as the sum of the fault probabilities of E1, E3 and
E4. Basic events connected with an OR logic gate are considered as mutually exclusive (faults cannot
occur at same time) or independent (occurrence of one event does not aect the occurrence of other
events). The probability of event E1 can be calculated as the sum of mutually exclusive events (A, B,
C and D) and the fault probability of event E2 that consists of two independent events. In the case
of event E3, the probability of a fault is equal to the probability of basic event H, because event I is
completely dependent on event H (loss of lubrication is unlikely to cause shaft failure without aecting
bearing temperature). The occurrence of event E4 is defined as the probability fault sum of basic events
that are all independent.
The probability of the occurrence of a fault event output from the “OR” gate can be calculated
with the formula [21]:
P(y0)=1
k
Y
i=11P(yi)(2)
where:
P(y0): the probability of the occurrence of the OR gate output event
k: the number of input events in the OR gate
P(yi): the probability of the input event in the OR gate. The input event is yi =1, 2, 3, . . . ,k
4. Fault Simulation and Diagnosis
The faults (air filter blockage, compressor fouled, cooler tube and air side fouled, turbine fouled)
are simulated using a Wärtsilä-Transas 5000 engine room simulator. The simulator provides a detailed
copy of the vessel system and engine room models with interactive parameters and features for
simulating exploitation conditions such as machinery faults or environment eects (wind, waves,
hull fouling).
In this study, a propulsion plant of Tanker LCC (Aframax) with the main engine—MAN B&W
6S60 MC-C—is used (Figure 3). The main engine is two-stroke, low speed, reversible, crosshead type
with six cylinders and constant pressure turbocharging. One turbocharger is fitted with equipment
for washing the compressor and turbine side. Additionally, the engine is equipped with an air cooler
for a fresh water cooling system. The type of fuel used for simulation is marine diesel oil (MDO)
with a defined maximum sulfur content according to new IMO regulations. All mentioned faults are
simulated while the engine is operating at 85% (nominal continuous rating) of maximum output with
ambient air temperature set to 22 C and humidity of 60%.
J. Mar. Sci. Eng. 2020,8, 1004 6 of 19
J. Mar. Sci. Eng. 2020, 8, x FOR PEER REVIEW 6 of 19
Figure 3. The interface of the main engine (cylinder) on Wärtsilä-Transas simulator [22].
4.1. Air Filter Fault
The blockage of the air filter is one of the most common faults associated with engine
turbocharger systems. Fouling of the air filter and air flow ducts will significantly affect the quality
of energy conversion and also it could cause an increase in fuel consumption. During operation, the
air filter will eventually get contaminated and display the following inefficiencies [9]:
Increase in the flow resistance
Loss of filtering properties
Loss of tightness
The amount of filter blockage can be set in the range of 0–100%, however, due to the automatic
start of “slow down” operating mode (after 40% of filter blockage), faults of 10%, 20%, 30% and 40%
of the fouled filter were simulated. The main engine parameters are presented in Table 1 for each
fault.
Figure 3. The interface of the main engine (cylinder) on Wärtsilä-Transas simulator [22].
4.1. Air Filter Fault
The blockage of the air filter is one of the most common faults associated with engine turbocharger
systems. Fouling of the air filter and air flow ducts will significantly aect the quality of energy
conversion and also it could cause an increase in fuel consumption. During operation, the air filter will
eventually get contaminated and display the following ineciencies [9]:
Increase in the flow resistance
Loss of filtering properties
Loss of tightness
The amount of filter blockage can be set in the range of 0–100%, however, due to the automatic
start of “slow down” operating mode (after 40% of filter blockage), faults of 10%, 20%, 30% and 40% of
the fouled filter were simulated. The main engine parameters are presented in Table 1for each fault.
J. Mar. Sci. Eng. 2020,8, 1004 7 of 19
Table 1. Air filter fouled.
Main Engine Parameters Fault—Air Filter Fouled
0% 10% 20% 30% 40%
Main engine inlet temperature (C) 31.60 31.70 31.80 32.40 32.70
Turbocharger air filter pressure drop (mm WC) 192.92 248.57 285.50 285.66 286.25
Scavenge air inlet temperature (C) 181.12 173.49 165.57 141.51 124.46
Scavenge air pressure drop (mm WC) 205.27 200.66 194.62 153.53 110.47
Scavenge air temperature manifold (C) 37.90 36.50 36.20 35.90 35.90
Main engine scavenge air pressure (bar) 2.26 1.99 1.77 1.41 1.31
Average cylinder exhaust temperature (C) 258.49 274.44 292.48 353.55 484.33
Exhaust gas outlet temperature (C) 200.82 219.88 241.47 315.62 456.35
Turbocharger turbine inlet temperature (C) 323.49 336.48 351.48 405.67 530.47
Turbocharger turbine inlet pressure (bar) 1.90 1.70 1.50 1.20 0.91
Turbocharger rpm (r/min) 13,296 13,240 13,442 12,537 11,478
Main engine rpm (r/min) 96.60 96.60 96.60 96.60 96.50
Main engine fuel load (%) 84.48 84.48 84.48 84.51 85.55
The increase in filter fouling percentage results in less air supplied on the air side of the turbocharger,
which is shown by these indicators in Table 1:
slightly increased main engine inlet temperature
increased air filter pressure drop
reduced scavenge air inlet temperature
reduced turbocharger scavenge air pressure drop
reduced scavenge air temperature and pressure
increased exhaust gas temperature on all cylinders
increased turbocharger turbine inlet temperature
reduced turbine inlet pressure
reduced turbocharger rpm
slightly increased main engine fuel load
A fault of the air filter could drastically aect the operation of the main engine if the amount
(percentage) of fouling increases. Since deposits on the air filter increase, the pressure drop on the air
filter is also increased, which results in ineective compressor operation. The compressor supplies
less fresh air into the cylinders due to the fouled filter, thus the main engine scavenge air pressure is
reduced (2.26 bar to 1.31 bar) and the scavenge air temperature (181.12
C to 124.46
C) before the air
cooler is also reduced. Furthermore, this fault has an impact on the increase in exhaust temperatures
in the cylinders and exhaust temperature at the turbine inlet. Insucient air supply also reduces
pressure at the turbine inlet (1.90 bar to 0.90 bar), therefore, turbocharger revolutions (rpm) are reduced.
The impact of an air filter fault on the main engine combustion process is explained in Section 5.1.
4.2. Air Cooler Faults
Turbochargers increase the temperature of the air in intake manifold, so it is important to reduce
these excessive temperatures to achieve an ecient combustion process and lower exhaust emissions.
For this purpose, engines are equipped with a scavenge air cooler which is usually constructed of
bronze alloy tubes for cooling water circulation and aluminum fins for necessary air flow [
23
]. Some of
the air coolers are cooled by sea water, but in this case, a low-temperature fresh water circuit is used.
The loss of the cooling eciency of the air cooler is related to insucient air flow (blockage of
cooler air side) and ineective cooling (cooler tube blockage). These two main faults are simulated
with the amount of fouling from 0–50%. The main engine monitored parameters during cooler tube
blockage are presented in Table 2.
J. Mar. Sci. Eng. 2020,8, 1004 8 of 19
Table 2. Cooler tube blockage.
Main Engine Parameters Fault—Cooler Tube Blockage
0% 10% 20% 30% 40% 50%
Main engine inlet temperature (C) 31.60 31.50 31.50 31.50 31.40 31.40
Turbocharger air filter pressure drop (mm WC)
192.92 197.50 203.51 211.51 220.53 232.52
Scavenge air inlet temperature (C)
181.12 183.54 188.52 194.50 201.51 210.50
Scavenge air pressure drop (mm WC)
205.27 206.50 207.53 210.53 212.53 216.51
Scavenge air temperature manifold (C) 37.90 47.90 60.00 74.90 92.90
115.50
Main engine scavenge air pressure (bar) 2.26 2.31 2.38 2.47 2.58 2.71
Average cylinder exhaust temperature (C)
258.49 264.51 272.51 284.50 298.51 315.53
Exhaust gas outlet temperature (C)
200.82 204.51 209.52 217.51 226.51 237.50
Turbocharger turbine inlet temperature (C)
323.49 329.53 338.53 351.50 365.53 384.50
Turbocharger turbine inlet pressure (bar) 1.90 2.00 2.00 2.10 2.20 2.30
Turbocharger rpm (r/min)
13,296 13,407 13,564 13,785 14,070 14,432
Main engine rpm (r/min) 96.60 96.60 96.60 96.60 96.60 96.60
Main engine fuel load (%) 84.48 84.48 84.48 84.48 84.50 84.50
A blockage of cooler tubes will aect the cooling water flow in tubes which will result in a loss of
cooling eciency, as well as these unwanted indications:
increased air filter pressure drop
increased scavenge air inlet temperature
increased turbocharger scavenge air pressure drop
increased scavenge air temperature manifold
increased average exhaust gas temperature on all cylinders and exhaust outlet temperature
increased turbocharger turbine inlet temperature
increased turbocharger rpm
With reduced cooling eciency, temperatures of exhaust gases and scavenge air increase,
especially the temperature of charge air (temperature manifold) before entering the cylinders.
The reasons and eects of fouled cooler tubes are discussed in Section 5.5.
In Table 3, the main engine parameters for a cooler air side fault are presented. Fouling of the
air side of the cooler will reduce the amount and quality of combustion air entering the cylinders,
leading to these indications:
slightly increased main engine inlet temperature
reduced air filter pressure drop
reduced scavenge air inlet temperature
increased turbocharger scavenge air pressure drop
reduced main engine scavenge air inlet pressure
increased average exhaust gas temperature on all cylinders and exhaust outlet temperatures
increased turbine inlet temperature
reduced turbine inlet pressure
reduced turbocharger rpm
slightly increased main engine fuel load
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Table 3. Cooler air side blockage.
Main Engine Parameters Fault—Cooler Air Side Blockage
0% 10% 20% 30% 40%
Main engine inlet temperature (C) 31.60 31.70 31.90 32.30 32.90
Turbocharger air filter pressure drop (mm WC) 192.92 166.47 133.48 99.35 71.48
Scavenge air inlet temperature (C) 181.12 174.49 165.49 154.40 144.47
Scavenge air pressure drop (mm WC) 205.27 215.59 221.45 223.57 236.26
Scavenge air temperature manifold (C) 37.90 36.60 35.90 35.90 35.90
Main engine scavenge air pressure (bar) 2.26 2.00 1.68 1.34 1.04
Average cylinder exhaust temperature (C) 258.49 274.47 300.52 347.63 411.51
Exhaust gas outlet temperature (C) 200.82 219.45 250.58 302.51 370.52
Turbocharger turbine inlet temperature (C) 323.49 336.45 359.27 400.65 459.50
Turbocharger turbine inlet pressure (bar) 1.90 1.70 1.40 1.10 0.80
Turbocharger rpm (r/min) 13,296 12,688 11,841 10,840 9793
Main engine rpm (r/min) 96.60 96.60 96.60 96.60 96.60
Main engine fuel load (%) 84.48 84.48 84.48 84.51 85.53
The amount of fouling is set to a maximum of 40%, due to the automatic start of “slow down”
mode when exhaust temperatures exceed their set limit point. Moreover, less air supplied to the
cylinders reduces the pressure of the scavenge air before entering the cylinders and turbine inlet pressure.
4.3. Compressor Wheel Fault
The purpose of the turbocharger compressor is to draw air from the engine room in an axial
direction and then expel it in a radial direction with high velocity. Three essential components of the
compressor that ensure high performance are: compressor wheel, casing and diuser.
Maintenance of the compressor side is highly important to avoid fouling of the compressor blades
which can lead to excessive air flow resistance. The simulation of the fouled compressor wheel is
shown in Table 4. The amount of fouling is set to 25%, 50%, 75% and 90%, unlike faults of the air
filter and cooler where operating mode “slow down” automatically starts after a certain percentage
of fouling.
Table 4. Compressor wheel fouled.
Main Engine Parameters Fault—Compressor Wheel Fouled
0% 25% 50% 75% 90%
Main engine inlet temperature (C) 31.60 31.60 31.60 31.60 31.70
Turbocharger air filter pressure drop (mm WC) 192.92 189.38 185.52 183.54 182.50
Scavenge air inlet temperature (C) 181.12 199.54 225.50 262.50 292.54
Scavenge air pressure drop (mm WC) 205.27 223.16 247.51 284.55 317.51
Scavenge air temperature manifold (C) 37.90 37.20 38.50 40.00 41.30
Main engine scavenge air pressure (bar) 2.26 2.22 2.19 2.17 2.16
Average cylinder exhaust temperature (C) 258.49 258.60 261.50 264.50 267.52
Exhaust gas outlet temperature (C) 200.82 201.52 204.53 207.50 210.50
Turbocharger turbine inlet temperature (C) 323.49 323.58 325.51 328.50 331.51
Turbocharger turbine inlet pressure (bar) 1.90 1.90 1.90 1.90 1.90
Turbocharger rpm (r/min) 13,296 13,240 13,152 13,103 13,084
Main engine rpm (r/min) 96.60 96.60 96.60 96.60 96.60
Main engine fuel load (%) 84.48 84.48 84.48 84.48 84.50
J. Mar. Sci. Eng. 2020,8, 1004 10 of 19
Table 4presents indications which will help to establish these shortcomings of the compressor
wheel/impeller:
reduced air filter pressure drop
increased scavenge air inlet temperature
increased turbocharger scavenge air pressure drop
increased scavenge air temperature manifold
slightly reduced main engine scavenge air pressure
increased average cylinder temperatures and outlet exhaust temperature
increased turbocharger turbine inlet temperature
reduced turbocharger rpm
While the amount of deposits on the compressor wheel is increasing it aects compressor eciency
and main engine parameters. With the reduced eciency of the compressor, the scavenge air pressure
is insucient and the most aected parameter is the temperature of the scavenge air inlet (charge air
temperature after the compressor), which increases significantly (181.12
C to 292.54
C). The increase
in the fouling percentage on the compressor blades also aects main engine performance in terms
of increased exhaust temperatures in the cylinders and at the turbine inlet. Furthermore, with an
excessive charge air temperature, the air cooler cannot eciently reduce this temperature, so the quality
of air entering the cylinders is inadequate for proper combustion processes. The simulated scenario
with a high percentage (90%) of fouling could even lead to severe damage to the compressor impeller.
Compressor maintenance and optimization are discussed in Section 5.2.
4.4. Turbine Blades Fault
The turbocharger turbine side, which consists of a turbine casing and turbine wheel, is a crucial
part for converting exhaust gas energy into mechanical energy (shaft power) to drive the compressor.
Because the high-velocity and high-temperature exhaust gas is directed onto the turbine blades,
without preventive maintenance, the exhaust side of the turbocharger can easily get contaminated
with carbon deposits and soot from the combustion process. Fouled turbine blades cause an increase
in the exhaust gas flow resistance, which leads to a reduction in turbine eciency and an increase in
the specific fuel consumption. The main engine parameters during fouled turbine wheel simulation
are presented in Table 5.
Table 5. Turbine wheel fouled.
Main Engine Parameters Fault—Turbine Wheel Fouled
0% 25% 50% 75% 90%
Main engine inlet temperature (C) 31.60 31.60 31.90 32.20 32.50
Turbocharger air filter pressure drop (mm WC) 192.92 171.68 144.50 114.47 93.57
Scavenge air inlet temperature (C) 181.12 164.49 146.61 129.50 118.55
Scavenge air pressure drop (mm WC) 205.27 201.67 195.61 184.50 172.47
Scavenge air temperature manifold (C) 37.90 36.30 35.90 35.90 35.90
Main engine scavenge air pressure (bar) 2.26 1.98 1.66 1.34 1.13
Average cylinder exhaust temperature (C) 258.49 269.49 290.48 324.50 358.50
Exhaust gas outlet temperature (C) 200.82 223.49 255.53 300.51 340.50
Turbocharger turbine inlet temperature (C) 323.49 332.46 349.52 379.51 410.39
Turbocharger turbine inlet pressure (bar) 1.90 1.70 1.40 1.10 0.90
Turbocharger rpm (r/min) 13,296 12,370 11,989 11,087 10,327
Main engine rpm (r/min) 96.60 96.60 96.60 96.60 96.60
Main engine fuel load (%) 84.48 84.48 84.48 84.51 84.51
Simulated faults in the range of 25–90% reduce turbine output capacity and result in these
important indications:
J. Mar. Sci. Eng. 2020,8, 1004 11 of 19
reduced air filter pressure drop
reduced turbocharger scavenge air pressure drop
reduced scavenge air inlet temperature
reduced main engine scavenge air pressure
increased turbocharger turbine inlet temperature
increased average exhaust gas temperature on all cylinders
increased exhaust gas outlet temperature
reduced turbocharger rpm
The fault (fouling) of turbine blades mostly depends on the quality of the fuel used and the
combustion process in the cylinders. Incomplete fuel burning causes layers of deposits on the turbine
blades which result in excessive exhaust gas temperatures. An increased amount of fouling percentage
on the turbine blades reduces the pressure of exhaust gases at the turbine inlet stage (1.90 bar to
0.90 bar), thus the turbine does not have the necessary output power to provide charge air with
constant pressure.
5. Results and Discussion
5.1. Turbocharger Air Side Results
The required amount and quality of intake air for proper combustion processes depends on the
ecient and optimized operating conditions of the compressor wheel and air filter. The fouling of the
air filter and compressor wheel are the two most common faults on the air intake side during engine
operation and they could easily be detected by monitoring engine parameters. These changes in main
engine parameters are presented in the previous section, however, the results of faults can also be
shown on the cylinder indicator diagram. Indicator diagrams are used to assess the performance of
each cylinder to detect any dierences in the combustion process during the voyage.
The results of air filter fault simulation are presented with an indicator diagram
(cylinder pressure/crank angle) in Figure 4. Cylinder indicator diagrams (Figures 47) are obtained
using the simulator’s built-in option for recording the pressure in each engine cylinder and an analyzing
option for a comparison of recorded indicator diagrams according to the fault percentage. In the
indicator diagram, the horizontal axis represents the cylinder crankshaft angle and the vertical axis is
pressure in the cylinder.
J. Mar. Sci. Eng. 2020, 8, x FOR PEER REVIEW 12 of 19
Figure 4. Indicator diagram during air filter faults.
As the contamination of the air filter increases, it affects the combustion pressures and injection
timing crank angles. Each fault in the diagram is presented with different colors according to the
fouling percentage, while the red line (0%) is a simulation in normal operating conditions. Analyzing
the indicator diagram, the main differences during the combustion process in the cylinder are:
reduced maximum combustion pressure from 150 bar to 119 bar
reduced compression pressure from 112 bar to 73 bar
increased angle of combustion start (1.5° to 4.7°), resulting in a late combustion process
reduced (late) timing angle of fuel injection (7.4°to 6.5°)
The fouling of the air filter and compressor impeller is usually from fuel and oil vapors, cargo
residues and dust from the engine room. These are the reasons for increasing the flow resistance on
the air side of the turbocharger, which eventually reduces the amount of air supplied for the
combustion process and overall efficiency of the turbocharger.
With insufficient air supplied to the cylinders, the combustion process is improper, resulting in
black smoke from the exhaust and increased fuel consumption. Because the amount of air for each
cylinder is reduced, increased fuel injection causes an increase in exhaust gas temperatures and,
eventually, activation of the alarm for high exhaust gas temperature and main engine slow down
operating mode.
5.2. Optimization and Maintenance of Air Filter and Compressor Wheel
The adequate maintenance of each turbocharger component is highly important, not only for
preventing failures but also to extend the durability and reliability of the system. Failures due to
improper maintenance are usually caused by human errors and they are hard to predict or avoid.
The assessment of human reliability during turbocharger maintenance procedures is presented in
[24] and an evaluation of human error probabilities in [25], with emphasis on contributing factors for
making errors such as a high level of noise and vibration, weather conditions, level of ship motion
and stress. The probability of human error during the cleaning of the air filter is very low because it
is an easy task to perform and an old filter with a silencer can be replaced or washed onboard.
Turbocharger manufacturers recommend maintenance and inspection intervals for each
component according to engine operating hours. For an air filter on a two-stroke engine, the
maintenance interval (clean air filter/depending on condition) is set to every 250 h [18]. Controlling
Figure 4. Indicator diagram during air filter faults.
J. Mar. Sci. Eng. 2020,8, 1004 12 of 19
J. Mar. Sci. Eng. 2020, 8, x FOR PEER REVIEW 14 of 19
Figure 5. Indicator diagram for turbine blade faults.
The fouling of turbine blades leads to a reduction of turbine output capacity and overall
efficiency. The main changes in the combustion process from the cylinder diagram are:
reduced mean effective pressure (20.1 to 19.3 bar)
reduced maximum combustion pressure (150 to 117 bar)
reduced compression pressure from (112 to 68 bar)
increased angle of combustion start (1.5° to 4.6°), resulting in late combustion process
In the case of a high fouling level, exhaust gas temperatures (at turbine inlet) are increased and
the turbocharger consequently supplies less charged air in the cylinders, so the combustion process
starts later and lasts longer.
5.4. Maintenance and Optimization of the Turbocharger Exhaust Side
To ensure the durability and efficiency of the turbocharger, maintenance of the turbine rotor,
nozzle ring and blades at regular intervals is highly important. For cleaning the deposits on turbine
blades, two methods that can be used without the need to stop the engine are the wet and dry cleaning
methods. Usually, for turbine cleaning, the wet method is applied due to better cleaning effects and
longer maintenance intervals [18].
For two-stroke engines, a maintenance interval of 150 operating hours is recommended [6],
however, it should be adapted according to the quality of the fuel used. The fresh water for cleaning
should be without any chemical additives and sprayed into the exhaust gas casing before the turbine
at a pressure of 2 or 3 bar. In a scenario with high exhaust temperatures during wet cleaning, it is
necessary to reduce engine load to avoid the thermal stress of turbine materials. The advantage of
dry cleaning is that it can be carried out during operation at full load, however, heavier deposits are
harder to remove and maintenance intervals are shortened.
The efficiency of the turbine depends on the energy in exhaust gases which is converted into
turbine power output for the intake of air mass flow from the compressor side.
Turbine power is expressed with Equation (4) [27]:
𝑃=ṁ
∙𝐶
, 𝑇−𝑇
(4)
In Equation (4), temperature T3 represents the turbine inlet temperature and T4 is exhaust outlet
temperature. The results of the turbine fault have shown that both temperatures simultaneously
increase proportionally to the amount of fouling. While these temperatures increase, the turbine
Figure 5. Indicator diagram for turbine blade faults.
J. Mar. Sci. Eng. 2020, 8, x FOR PEER REVIEW 15 of 19
power is reduced due to lower temperature difference (ΔT) and turbine gas flow rate (t). With
insufficient turbine outlet power, turbocharger revolutions (rpm) are also reduced and consequently
less fresh air is supplied to the cylinders. Furthermore, less air has a negative effect on the scavenge
air pressure (reduced from 2.26 to 1.13 bar) and turbine inlet pressure (reduced from 1.90 to 0.9 bar).
The presented results of turbine fouling indicate the importance of preventive maintenance. The
high amount of deposits in the exhaust side of the turbocharger will eventually lead to damage to the
turbine. Moreover, when the turbine wheel is damaged, it is imbalanced and it could cause serious
issues for the shaft and bearings. Corrective measures for repairing turbocharger damage are not an
easy task in large two-stroke marine engines during voyage. The reasons are usually related to
missing spare parts or insufficient crew maintenance knowledge and experience. To avoid failure of
the exhaust side, it is recommended to adjust the maintenance interval (according to contamination
level) and to regularly observe exhaust gas temperatures (before and after the turbine).
5.5. Air Cooler Results
Turbocharger efficiency also depends on the operating condition of the scavenge air cooler. The
results of two simulated faults (fouling of air side and tubes) have shown that it could significantly
affect the combustion process and these faults should not be neglected. The effects of fouling include
loss of heat transfer (tube blockage) and a pressure drop decrease (air side fouled).
Fouling of the air side occurs due to dust and atmospheric particulates contained in the air and
the fins of the cooler have a role as a filter where particulates can deposit. As the layers of deposits
increase, less air is supplied to the cylinders, leading to reduced inlet air pressure (from 2.26 bar to
1.04 bar) and turbine inlet pressure (from 1.90 bar to 0.80 bar). With reduced turbine inlet pressure,
the turbocharger does not have enough output capacity for the compressor side, so the air filter
pressure drop is also reduced (from 192 to 71 mm WC). Therefore, less supplied air will increase the
exhaust gas temperatures from the cylinders and fuel consumption. Differences in the combustion
process for this fault are presented in Figure 6.
Figure 6. Indicator diagram of the fouled cooler—air side.
The results shown in the indicator diagram (Figure 6) are similar to the results of the air filter
fault due to insufficient charged air flow. The symptoms of this fault in the combustion process are:
reduced mean effective pressure (20.3 to 19.5 bar)
reduced maximum combustion pressure (150 to 118 bar)
Figure 6. Indicator diagram of the fouled cooler—air side.
J. Mar. Sci. Eng. 2020, 8, x FOR PEER REVIEW 16 of 19
reduced compression pressure from (112 to 70 bar)
increased angle of combustion start (1.5° to 4.6°)
Regular maintenance for the air cooler involves the injection of cleaning additives with water.
This mist of water and solvents is necessary for cleaning the air fin deposits which can reduce air
flow. The washing down process is highly important to ensure all the contamination is flushed out
and to improve scavenging efficiency and heat transfer.
The second simulated fault of the air cooler (tube blockage) also has a negative effect on the
combustion process. The blockage of water flow through the tubes is related to the inadequate
treatment of cooling water, which has corrosive and sediment-laden properties. When cooler tubes
are blocked, the temperatures of scavenge air and exhaust gases are increased. The temperature of
scavenge air during normal operating conditions is 37.90 °C, while during 40% tube blockage, it is
increased to 92.90 °C (Table 2). Moreover, the combustion process in the cylinders is inefficient,
therefore exhaust temperatures and turbine inlet pressure are increased from 1.90 to 2.20 bar. With
higher pressure at the turbine inlet and excessive temperatures, turbocharger shaft revolutions are
increased, which could lead to turbocharger overspeeding. The results of the combustion process in
the indicator diagram are presented in Figure 7.
Figure 7. Indicator diagram of blocked cooler tubes.
A high temperature of scavenge air in the combustion process causes these changes in the
indicator diagram:
increased compression pressure from (112 to 124 bar)
reduced angle of combustion start (1.5° to 2.0°), resulting in the early start of the combustion
process
To avoid mechanical damage to the fins and tubes of the air cooler, it is recommended to detect
the level of fouling in the early stage. The easiest way to detect this is to measure and control the
scavenge air temperature and pressure difference. Sometimes maintenance of the air cooler is
neglected during voyage and it is postponed until major overhaul. The efficiency and reliability of
the air cooler depends on regular maintenance intervals and the control of fouling layers in tubes and
Figure 7. Indicator diagram of blocked cooler tubes.
J. Mar. Sci. Eng. 2020,8, 1004 13 of 19
As the contamination of the air filter increases, it aects the combustion pressures and injection
timing crank angles. Each fault in the diagram is presented with dierent colors according to the fouling
percentage, while the red line (0%) is a simulation in normal operating conditions. Analyzing the
indicator diagram, the main dierences during the combustion process in the cylinder are:
reduced maximum combustion pressure from 150 bar to 119 bar
reduced compression pressure from 112 bar to 73 bar
increased angle of combustion start (1.5to 4.7), resulting in a late combustion process
reduced (late) timing angle of fuel injection (7.4to 6.5)
The fouling of the air filter and compressor impeller is usually from fuel and oil vapors,
cargo residues and dust from the engine room. These are the reasons for increasing the flow
resistance on the air side of the turbocharger, which eventually reduces the amount of air supplied for
the combustion process and overall eciency of the turbocharger.
With insucient air supplied to the cylinders, the combustion process is improper, resulting in
black smoke from the exhaust and increased fuel consumption. Because the amount of air for each
cylinder is reduced, increased fuel injection causes an increase in exhaust gas temperatures and,
eventually, activation of the alarm for high exhaust gas temperature and main engine slow down
operating mode.
5.2. Optimization and Maintenance of Air Filter and Compressor Wheel
The adequate maintenance of each turbocharger component is highly important, not only for
preventing failures but also to extend the durability and reliability of the system. Failures due to
improper maintenance are usually caused by human errors and they are hard to predict or avoid.
The assessment of human reliability during turbocharger maintenance procedures is presented in [
24
]
and an evaluation of human error probabilities in [
25
], with emphasis on contributing factors for
making errors such as a high level of noise and vibration, weather conditions, level of ship motion and
stress. The probability of human error during the cleaning of the air filter is very low because it is an
easy task to perform and an old filter with a silencer can be replaced or washed onboard.
Turbocharger manufacturers recommend maintenance and inspection intervals for each component
according to engine operating hours. For an air filter on a two-stroke engine, the maintenance interval
(clean air filter/depending on condition) is set to every 250 h [
18
]. Controlling the contamination of the
air filter should be a crucial part of the inspection interval. The results of an air filter fault have shown
that it drastically aects the main engine and turbocharger parameters, so the recommendation is to
enhance the maintenance interval by checking the fouling of filter or unusual vibrations more often
and to compare scavenge air pressure dierences on the manometer.
The contamination of the compressor wheel and air intake casing is usually caused by lubricating
oil vapors (entering through the labyrinth seal) or particles of fuel contained in the air. Moreover, due to
the high speed of the turbocharger, foreign objects, parts of the equipment or even small particles
in air flow ducts could lead to serious damage to the compressor wheel. A compressor wheel with
damaged impeller blades aects the aerodynamics of the air flow and it results in insucient scavenge
air pressure and a reduction of compressor eciency.
Another problem that can also aect compressor performance is surging (specific fault/event
on fault tree). Surging occurs when the air pressure charged by the compressor is higher than the
pressure inside the compressor and it creates a reverse air flow towards the inlet of the compressor.
This deviation of the pressure is hard to predict and it could be due to sudden changes in the main
engine load or imbalanced or damaged blades. In [
26
], a detailed measurement of engine performance
during compressor surge is analyzed, with the conclusion that in marine engines with intake manifold
of large volumes, it is hard to prevent the surging eect.
J. Mar. Sci. Eng. 2020,8, 1004 14 of 19
To optimize compressor working performance, it is necessary to evaluate the compressor eciency.
Compressor eciency is defined as the ratio of the work a compressor performs under insulated
conditions to that of an compressor under actual conditions, and it is expressed with Equation (3) [
27
]:
ηis,c=his,c
hc
=Cp,c·(T2,is T1)
Cp,c·(T2T1)(3)
The fouling of the compressor wheel does not aect the combustion pressures or timing and
duration of fuel injection as an air filter fault. However, it significantly increases the compressor
outlet temperature (in Table 3: scavenge air inlet temperature). This temperature is indicated as T
2
in
Equation (3), and when it increases, the compressor eciency is reduced.
To prevent this from happening, period maintenance is required at scheduled intervals. The most
common methods for cleaning the compressor or turbine blades are wet and dry cleaning. The dry
cleaning method is carried out with compressed air blown at the compressor wheel. However,
this method is not recommended for heavier deposits. Manufacturers recommend wet cleaning
(fresh water) for compressor blades while the engine is at full load. Usually, compressor maintenance
is neglected or postponed until dry-docking rather than performing maintenance during operating
hours. Sometimes neglected washing routines can lead to an increase in dirt deposits on both the
compressor and turbine blades and this could cause an imbalance of the rotor or even bearing damage.
The recommendation is to continuously monitor scavenge air temperature and perform the cleaning at
intervals adjusted to the amount of contamination.
5.3. Turbocharger Exhaust Side Results
The exhaust side of the turbocharger consists of the gas inlet and outlet casing, nozzle ring
and turbine rotor with blades for converting exhaust gas kinetic energy into mechanical energy.
Turbine blades are directly exposed to a high temperature of exhaust gases, therefore, their condition
depends on the quality of the combustion process and fuel used. Due to improper combustion,
unburnt carbon and soot particles in exhaust gas can cause fouling and damage to the nozzle ring and
blades. Moreover, severe damage to turbine blades can be caused by pieces of broken piston rings
or valves.
The faults (fouling) of turbine blades also cause dierences in the combustion process and they
are presented in Figure 5.
The fouling of turbine blades leads to a reduction of turbine output capacity and overall eciency.
The main changes in the combustion process from the cylinder diagram are:
reduced mean eective pressure (20.1 to 19.3 bar)
reduced maximum combustion pressure (150 to 117 bar)
reduced compression pressure from (112 to 68 bar)
increased angle of combustion start (1.5to 4.6), resulting in late combustion process
In the case of a high fouling level, exhaust gas temperatures (at turbine inlet) are increased and
the turbocharger consequently supplies less charged air in the cylinders, so the combustion process
starts later and lasts longer.
5.4. Maintenance and Optimization of the Turbocharger Exhaust Side
To ensure the durability and eciency of the turbocharger, maintenance of the turbine rotor,
nozzle ring and blades at regular intervals is highly important. For cleaning the deposits on turbine
blades, two methods that can be used without the need to stop the engine are the wet and dry cleaning
methods. Usually, for turbine cleaning, the wet method is applied due to better cleaning eects and
longer maintenance intervals [18].
For two-stroke engines, a maintenance interval of 150 operating hours is recommended [
6
],
however, it should be adapted according to the quality of the fuel used. The fresh water for cleaning
J. Mar. Sci. Eng. 2020,8, 1004 15 of 19
should be without any chemical additives and sprayed into the exhaust gas casing before the turbine
at a pressure of 2 or 3 bar. In a scenario with high exhaust temperatures during wet cleaning, it is
necessary to reduce engine load to avoid the thermal stress of turbine materials. The advantage of dry
cleaning is that it can be carried out during operation at full load, however, heavier deposits are harder
to remove and maintenance intervals are shortened.
The eciency of the turbine depends on the energy in exhaust gases which is converted into
turbine power output for the intake of air mass flow from the compressor side.
Turbine power is expressed with Equation (4) [27]:
Pt=˙
mt·Cp,t·(T3T4)(4)
In Equation (4), temperature T
3
represents the turbine inlet temperature and T
4
is exhaust outlet
temperature. The results of the turbine fault have shown that both temperatures simultaneously
increase proportionally to the amount of fouling. While these temperatures increase, the turbine power
is reduced due to lower temperature dierence (
T) and turbine gas flow rate (
˙
m
t
). With insucient
turbine outlet power, turbocharger revolutions (rpm) are also reduced and consequently less fresh air
is supplied to the cylinders. Furthermore, less air has a negative eect on the scavenge air pressure
(reduced from 2.26 to 1.13 bar) and turbine inlet pressure (reduced from 1.90 to 0.9 bar).
The presented results of turbine fouling indicate the importance of preventive maintenance.
The high amount of deposits in the exhaust side of the turbocharger will eventually lead to damage
to the turbine. Moreover, when the turbine wheel is damaged, it is imbalanced and it could cause
serious issues for the shaft and bearings. Corrective measures for repairing turbocharger damage are
not an easy task in large two-stroke marine engines during voyage. The reasons are usually related to
missing spare parts or insucient crew maintenance knowledge and experience. To avoid failure of
the exhaust side, it is recommended to adjust the maintenance interval (according to contamination
level) and to regularly observe exhaust gas temperatures (before and after the turbine).
5.5. Air Cooler Results
Turbocharger eciency also depends on the operating condition of the scavenge air cooler.
The results of two simulated faults (fouling of air side and tubes) have shown that it could significantly
aect the combustion process and these faults should not be neglected. The eects of fouling include
loss of heat transfer (tube blockage) and a pressure drop decrease (air side fouled).
Fouling of the air side occurs due to dust and atmospheric particulates contained in the air and
the fins of the cooler have a role as a filter where particulates can deposit. As the layers of deposits
increase, less air is supplied to the cylinders, leading to reduced inlet air pressure (from 2.26 bar to
1.04 bar) and turbine inlet pressure (from 1.90 bar to 0.80 bar). With reduced turbine inlet pressure,
the turbocharger does not have enough output capacity for the compressor side, so the air filter pressure
drop is also reduced (from 192 to 71 mm WC). Therefore, less supplied air will increase the exhaust gas
temperatures from the cylinders and fuel consumption. Dierences in the combustion process for this
fault are presented in Figure 6.
The results shown in the indicator diagram (Figure 6) are similar to the results of the air filter fault
due to insucient charged air flow. The symptoms of this fault in the combustion process are:
reduced mean eective pressure (20.3 to 19.5 bar)
reduced maximum combustion pressure (150 to 118 bar)
reduced compression pressure from (112 to 70 bar)
increased angle of combustion start (1.5to 4.6)
Regular maintenance for the air cooler involves the injection of cleaning additives with water.
This mist of water and solvents is necessary for cleaning the air fin deposits which can reduce air flow.
The washing down process is highly important to ensure all the contamination is flushed out and to
improve scavenging eciency and heat transfer.
J. Mar. Sci. Eng. 2020,8, 1004 16 of 19
The second simulated fault of the air cooler (tube blockage) also has a negative eect on the
combustion process. The blockage of water flow through the tubes is related to the inadequate treatment
of cooling water, which has corrosive and sediment-laden properties. When cooler tubes are blocked,
the temperatures of scavenge air and exhaust gases are increased. The temperature of scavenge air
during normal operating conditions is 37.90
C, while during 40% tube blockage, it is increased to
92.90
C (Table 2). Moreover, the combustion process in the cylinders is inecient, therefore exhaust
temperatures and turbine inlet pressure are increased from 1.90 to 2.20 bar. With higher pressure at the
turbine inlet and excessive temperatures, turbocharger shaft revolutions are increased, which could
lead to turbocharger overspeeding. The results of the combustion process in the indicator diagram are
presented in Figure 7.
A high temperature of scavenge air in the combustion process causes these changes in the
indicator diagram:
increased compression pressure from (112 to 124 bar)
reduced angle of combustion start (1.5
to
2.0
), resulting in the early start of the combustion process
To avoid mechanical damage to the fins and tubes of the air cooler, it is recommended to detect the
level of fouling in the early stage. The easiest way to detect this is to measure and control the scavenge
air temperature and pressure dierence. Sometimes maintenance of the air cooler is neglected during
voyage and it is postponed until major overhaul. The eciency and reliability of the air cooler depends
on regular maintenance intervals and the control of fouling layers in tubes and fins, especially in large
two-stroke marine engines with an enormous mass of air flow charged into cylinders.
6. Conclusions
The reliability of the marine turbocharger system is crucial to ensure ecient performance during
the exploitation period. High reliability of the turbocharger system depends on preventing failures by
using a fault diagnosis method, engine performance evaluation and appropriate maintenance intervals.
Usually, fault diagnosis during engine operation depends on the engine crew’s experience, which can
lead to false conclusions and improper corrective actions.
Before analyzing turbocharger faults, it is necessary to evaluate relations between the cause and
symptoms of all the possible faults that can occur during operation. In this paper, the most common
faults in each turbocharger component are simulated and analyzed. The main conclusions of this
research are:
Fouling of the air filter can significantly aect the main engine performance and eciency
of the turbocharger, moreover, it could also result in an increase in fuel consumption.
Regular maintenance intervals of the air filter should not be neglected and it is recommended to
control the amount of fouling more often. Replacing an air filter with a new one or washing an
old one is considered as an easy maintenance task and maintenance costs are negligible when
compared with potential losses. For compressor wheel faults, it is recommended to perform
a maintenance interval according to manufacturer instructions and to continuously monitor
scavenge air temperature at the compressor outlet.
With a high fouling level of the turbine wheel, exhaust gas temperatures are increased and this
could lead to damage to the turbine blades. Furthermore, turbine capacity, power and eciency
of the combustion process are reduced. It is necessary to monitor the exhaust temperatures at the
turbine inlet and outlet (exhaust ducts). The maintenance interval should be adjusted according
to quality of fuel used and the level of contamination.
The results of the simulation of air cooler faults have indicated that it is a highly important
component of the turbocharger system and it should not be neglected in terms of inspection and
preventive maintenance. The eciency of the combustion process and reliability of turbocharging
depend on the operating condition of the air cooler.
J. Mar. Sci. Eng. 2020,8, 1004 17 of 19
This method for diagnosing and simulating failures during the operating period is useful to
provide analysis of failure causes and to improve the experience in early failure detection. However,
turbochargers in low-speed marine engines are complex systems and many unpredictable factors can
aect their eciency. Some problems that are not analyzed in this paper but could also occur during
operation are: insucient ventilation around the engine, lack of lubrication or incorrect lubricating
oil, turbocharger shaft misalignment, high ambient air humidity, surging eect, mismatching of the
operating engine with the turbocharger system.
More stringent emission regulations and fuel economy are forcing manufacturers to adapt
turbocharger performance to new exhaust technologies. With new technologies, there is still much
uncertainty in terms of achieving optimal turbocharger eciency and reliability, such as: how do
new alternative fuels impact turbocharger performance? Does two-stage turbocharging have a
long-term future? Will turbocharger emission reduction technologies add to maintenance costs?
Does slow-steaming reduce turbocharger eciency?
Although there will be many influences on turbocharger design in the near future, the main
priorities will be the reliability of the system, energy eciency and maintenance costs. For achieving
these demands, the methodology presented in this paper is highly useful and practical.
Operational eciency of vessels could be enhanced by this methodology, with real-time scenarios and
even simulation of joint bridge-engine operation. The advantage of a marine engine simulator is that
failures can be simulated without any consequences for the engine or equipment. Otherwise, this faulty
operation of marine engine and turbocharger can be dangerous and impossible under real conditions
during voyage. Simulation results and diagnosis of failures can be used as a new educational method
for students and useful information for ship owners and engine crew. The presented results can be
further used for scientific research in the field of optimization of the main engine and turbochargers.
Additionally, the results can be used for the evaluation of the fuel oil consumption and reduction of
exhaust gas emissions.
Author Contributions:
Conceptualization, V.K. and J.O.; methodology, V.K.; research simulation, V.K. and J.O.;
validation, V.K., J.O. and L.S.; formal analysis, V.K., J.O. and J. ˇ
C.; writing—original draft preparation, V.K.;
writing—review and editing, V.K., J.O., J. ˇ
C. and L.S. All authors have read and agreed to the published version of
the manuscript.
Funding: This research received no external funding.
Conflicts of Interest: The authors declare no conflict of interest.
Abbreviations
The following abbreviations are used in the manuscript:
Cp,c specific compressor enthalpy
Cp,t specific heat of turbine gas
hcspecific compressor enthalpy
his,c isentropic compressor enthalpy
˙
mtturbine gas flow rate
P(E) probability of event
Ptturbine power
T1compressor inlet temperature
T2compressor outlet temperature
T2,is isentropic compressor outlet temperature
T3turbine inlet gas temperature
T4turbine outlet gas temperature
J. Mar. Sci. Eng. 2020,8, 1004 18 of 19
References
1.
Smith, D.J. Reliability, Maintainability and Risk—7th Edition. Available online: https://www.elsevier.com/
books/reliability-maintainability-and-risk/smith/978-0-7506-6694-7 (accessed on 17 September 2020).
2.
Ebeling, C.E. An Introduction to Reliability and Maintainability Engineering, 3rd ed.; Waveland Press:
Long Groove, IL, USA, 2019; ISBN 978-1-4786-3933-6.
3.
Golub, I.; Antoni´c, R.; Dobrota, Ð.; Golub, I.; Antoni´c, R. Dobrota, Optimization of heavy fuel oil separator
system by applying diagnostic inference methods. Pomorstvo 2011,25, 173–188.
4.
Anantharaman, M.; Khan, F.; Garaniya, V.; Lewarn, B. Reliability Assessment of Main Engine Subsystems
Considering Turbocharger Failure as a Case Study. TransNav 2018,12, 271–276. [CrossRef]
5.
Anantharaman, M.; Islam, T.M.; Khan, F.; Garaniya, V.; Lewarn, B. Data Analysis to Evaluate Reliability of a
Main Engine. TransNav 2019,13, 403–407. [CrossRef]
6.
Yang, M.; Hu, C.; Bai, Y.; Deng, K.; Gu, Y.; Qian, Y.; Liu, B. Matching method of electric turbo compound for
two-stroke low-speed marine diesel engine. Appl. Therm. Eng. 2019,158, 113752. [CrossRef]
7.
P
í
štˇek, V.; Kuˇcera, P.; Fomin, O.; Lovska, A. Eective Mistuning Identification Method of Integrated Bladed
Discs of Marine Engine Turbochargers. J. Mar. Sci. Eng. 2020,8, 379. [CrossRef]
8.
Adamkiewicz, A. An analysis of cause and eect relations in diagnostic relations of marine Diesel engine
turbochargers. Zeszyty Naukowe/Akademia Morska w Szczecinie 2012,31, 5–13.
9.
Monieta, J. Fundamental Investigations of Marine Engines Turbochargers Diagnostic with Use Acceleration
Vibration Signals. In Proceedings of the 2nd International Conference on Chemistry, Chemical process and
Engineering, Yogyakarta, Indonesia, 14–15 August 2018; p. 020044.
10.
Ta, T.V.; Vu, N.H.; Triet, M.A.; Thien, D.M.; Cang, V.T. Assesment of Marine Propulsion System Reliability
Based on Fault Tree Analysis. Int. J. Trans. Eng. Technol. 2017,2, 55. [CrossRef]
11.
Budiyanto, M.A.; Fernanda, H. Risk Assessment of Work Accident in Container Terminals Using the Fault
Tree Analysis Method. J. Mar. Sci. Eng. 2020,8, 466. [CrossRef]
12.
Laskowski, R. Fault Tree Analysis as a tool for modelling the marine main engine reliability structure. Sci. J.
Mar. Univ. Szczec. 2015,41, 71–77.
13.
Vera-Garc
í
a, F.; Pag
á
n Rubio, J.A.; Hern
á
ndez Grau, J.; Albaladejo Hern
á
ndez, D. Improvements of a Failure
Database for Marine Diesel Engines Using the RCM and Simulations. Energies 2020,13, 104. [CrossRef]
14.
Chybowski, L.; Gawdzi ´nska, K.; Laskowski, R. Assessing the Unreliability of Systems during the Early
Operation Period of a Ship—A Case Study. J. Mar. Sci. Eng. 2019,7, 213. [CrossRef]
15.
Karatu˘g, Ç.; Arslano˘glu, Y. Importance of early fault diagnosis for marine diesel engines: A case study on
eciency management and environment. Ships Oshore Struct. 2020, 1–9. [CrossRef]
16.
Turbocharger Fundamentals. Available online: https://dieselnet.com/tech/air_turbocharger.php#turbine
(accessed on 9 October 2020).
17.
Monieta, J.; Sendecki, A. Database and Knowledge about Essential Manufacturers of Marine Self-Ignition
Engines. J. Mar. Sci. Eng. 2020,8, 239. [CrossRef]
18.
MAN Diesel & Turbo. TCR Turbocharger, Project Guide Book, Augsburg; MAN Diesel & Turbo SE:
Augsburg, Germany, 2014.
19.
IMO—Nitrogen Oxides (NOx)—Regulation 13. Available online: https://www.imo.org/en/OurWork/
Environment/Pages/Nitrogen-oxides-(NOx)- %E2%80%93-Regulation- 13.aspx (accessed on 29 October 2020).
20.
Vesely, W.; Goldberg, F.; Roberts, N.; Haasl, D. Fault Tree Handbook; NUREG-0492; Nuclear Regulatory
Commission: Rockville, MD, USA, 1981.
21.
Brocken_Improving_The_Reliability_Of_Ship_Machinery.pdf|Ships|Oil Tanker. Available online: https:
//www.scribd.com/document/372482692/Brocken-Improving-The-Reliability-Of-Ship-Machinery-pdf
(accessed on 9 October 2020).
22.
MAN B & W 6S60MC-C Diesel Engine—Tanker LCC (Aframax). Trainee Manual Book; Transas Marine Ltd.:
Saint-Petersburg, Russia, 2017.
23.
Charge Air Cooler Maintenance. Available online: https://manualzilla.com/doc/6016061/charge-air-cooler-
maintenance (accessed on 2 November 2020).
24.
Islam, R.; Abbassi, R.; Garaniya, V.; Khan, F. Development of a human reliability assessment technique
for the maintenance procedures of marine and oshore operations. J. Loss Prev. Process. Ind.
2017
,
50, 416–428. [CrossRef]
J. Mar. Sci. Eng. 2020,8, 1004 19 of 19
25.
Demirel, H. An Evaluation of Human Error Probabilities for Critical Failures in Auxiliary Systems of Marine
Diesel Engines. J. Mar. Sci. Appl. 2020. [CrossRef]
26.
Vrettakos, N.A. Analysis and characterization of a marine turbocharger’s unstable performance. Proc. IMechE
2018,232, 293–306. [CrossRef]
27.
Chung, J.; Chung, J.; Kim, N.; Lee, S.; Kim, G. An Investigation on the Eciency Correction Method of the
Turbocharger at Low Speed. Energies 2018,11, 269. [CrossRef]
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