Agusmian Partogi Ompusunggu

Agusmian Partogi Ompusunggu
Cranfield University · Department of Manufacturing

PhD in Engineering

About

84
Publications
34,772
Reads
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779
Citations
Introduction
Experience in: 1) Industry-driven R&D projects, 2) Project Definition and Management 3) Technical/Scientific Coordination 4) Coaching and Supervision
Additional affiliations
Position
  • Engineer
March 2014 - January 2022
Flanders Make vzw
Position
  • Senior Researcher and Project Leader
Description
  • - Technical/Scientific Coordination - Project Management
August 2003 - January 2007
Bandung Institute of Technology
Position
  • Research Assistant
Description
  • Teaching assistant of basic and advanced courses including: 1. Introduction to vibration analysis 2. Introduction to control system 3. Modal analysis and testing 4. Vibration signature analysis for predictive maintenance
Education
April 2008 - August 2012
KU Leuven
Field of study
  • Doctor in Mechanical Engineering
August 2004 - October 2006
Bandung Institute of Technology
Field of study
  • Master's in Mechanical Engineering (Cum-Laude)
August 2000 - June 2004
Bandung Institute of Technology
Field of study
  • Bachelor in Mechanical Engineering (Cum-Laude)

Publications

Publications (84)
Article
Continuous generating gear grinding is a well-established and widely used process in the industry for large-scale production gears. It offers an economic/efficient process for finishing gears, which shapes the micro-geometry of the gear tooth flank and improves its surface quality. The resulting quality of ground gears depends on several factors, n...
Article
Full-text available
In laser powder bed fusion (LPBF), defects such as pores or cracks can seriously affect the final part quality and lifetime. Keyhole porosity, being one type of porosity defects in LPBF, results from excessive energy density which may be due to changes in process parameters (namely, laser power and scan speed) and/or result from the part’s geometry...
Article
Full-text available
Corrosion is the leading cause of failure for Offshore Wind Turbine (OWT) structures and it is characterized by a low probability of detection. With focus on uniform corrosion, we propose a corrosion detection and prognosis system coupled with a Decision Support Tool (DST) and a Graphical User Interface (GUI). By considering wall thickness measurem...
Article
Full-text available
The current maintenance of railway infrastructure replies heavily on human involvement, requiring possession of the track section during maintenance, resulting in high costs and inefficient execution. This paper proposes an autonomous rail-road amphibious robotic system for railway inspection and maintenance tasks. By virtue of its road and rail-au...
Article
Full-text available
Traditional business models of selling a product as a single item can no longer satisfy the growing service-oriented needs of customers. Service-oriented business models, like servitisation or product-service systems (PSS), have been introduced to respond to this market demand. Predictive maintenance (PdM) strategy is regarded as a key element in t...
Conference Paper
Full-text available
Condition monitoring (CM) of rolling element bearings (REBs) rotating at low speeds poses some challenges in practice because of the low signal-to-noise ratio produced by the faults. Both vibration-based and ultrasound/acoustic emission (AE) based sensing techniques have been proposed in the literature to detect faults in rolling element bearings r...
Chapter
As critical components in rotating machinery, the health condition of rolling element bearings needs to be estimated and monitored for maintenance decision-making such that machine downtimes due to catastrophic bearing failures can be minimised. Vibration-based condition monitoring is a well-established technique to monitor the bearing health condi...
Chapter
The interest to develop a reliable condition monitoring (CM) and prognostics and health management (PHM) program for solenoid-operated valves (SOVs), being one of the critical components of machines/equipment in the industry, has increased since the last decades. The literature comprises methods including physics-based, data-driven modeling or hybr...
Article
Full-text available
Quantitative assessment of feature performance for health monitoring is key to feature selection. This paper illustrates the application of well-established metrics in the research community - namely, monotonicity, robustness and prognosability - to the quantitative performance assessment of features for health monitoring of alternating-current (AC...
Article
Full-text available
An aircraft engine is expected to have a high-reliability system as a safety-critical asset. A scheduled maintenance strategy based on statistical calculation has been employed as the current practice to achieve the reliability requirement. Any improvement to this maintenance interval is made after significant reliability issues arise (such as flig...
Article
Full-text available
Since manual inspections of offshore wind turbines are costly, there is a need for remote monitoring of their health condition, including health prognostics. In this paper, we focus on corrosion detection and corrosion prognosis since corrosion is a major failure mode of offshore wind turbine structures. In particular, we propose an algorithm for c...
Article
Ineffective maintenance management can result in a backlog of maintenance work orders, inefficient activity prioritisations, and unnecessary outages. Making a strategic decision is challenging due to traditional procedures that only treated maintenance at a tactical level. Usually, the key performance indicator (KPI) measured for maintenance manage...
Article
Full-text available
As large wind farms are now often operating far from the shore, remote condition monitoring and condition prognostics become necessary to avoid excessive operation and maintenance costs while ensuring reliable operation. Corrosion, and in particular uniform corrosion, is a leading cause of failure for Offshore Wind Turbine (OWT) structures due to t...
Article
Full-text available
Solenoid operated valves (SOVs) are critical components in many industrial applications. There has been a continuing interest in the industry to have robust condition monitoring, prognostics and health management tools to support the condition based maintenance and predictive maintenance program for such valves. For critical assets like SOVs, it is...
Conference Paper
New offshore wind farms are often operating far from the shore and under challenging operating conditions, making manual on-site inspections expensive. Therefore, there is a growing need for remote condition monitoring and prognostics systems for such offshore wind farms. In this paper, we focus on corrosion prognosis since corrosion is a major fai...
Article
Full-text available
Remaining useful life is of great value in the industry and is a key component of Prognostics and Health Management (PHM) in the context of the Predictive Maintenance (PdM) strategy. Accurate estimation of the remaining useful life (RUL) is helpful for optimizing maintenance schedules, obtaining insights into the component degradation, and avoiding...
Article
Full-text available
The exploitation of offshore windfarms (WFs) goes hand in hand with large capital expenditures (CAPEX) and operational expenditures (OPEX), as these mechanical installations operate continuously for multiple decades in harsh, saline conditions. OPEX can account for up to 30% of the levelised cost of energy (LCoE) for a deployed offshore wind farm....
Preprint
Full-text available
In laser powder bed fusion (LPBF), defects such as pores or cracks can seriously affect the final part quality and lifetime. Keyhole porosity, being one type of porosity defects in LPBF, results from excessive energy density which may be due to changes in process parameters (laser power and scan speed) and/or result from the part’s geometry and/or...
Conference Paper
This paper describes an algorithm for bearing fault detection using wavelet scattering networks (WSNs) as a pre-processing step for feature space generation. WSNs are based on the wavelet transform, where translation-invariant features are computed that are locally stable to deformation, making it particularly suitable for classification and cluste...
Conference Paper
As critical components in rotating machinery, the health condition of rolling element bearings needs to be estimated and monitored for maintenance decision making such that machine downtimes due to catastrophic bearing failures can be minimized. Vibration-based condition monitoring is a well-established technique to monitor the bearing health condi...
Preprint
The interest to develop a reliable condition monitoring (CM) and prognostics and health management (PHM) program for solenoid-operated valves (SOVs), being one of the critical components of machines/equipment in the industry, has increased since the last decades. The literature comprises methods including physics-based, data-driven modelling or hyb...
Article
A smartphone is a low-cost pocket wireless multichannel multiphysical data acquisition system: the use of such a device for noise and vibration analysis is a challenging task. To what extent is it possible to carry out relevant analysis from it? The Survishno conference, held in Lyon in July 2019, proposed a contest to participants based on this su...
Preprint
Stereolithography (SLA), an additive manufacturing (3D printing) technique, is widely used nowadays for rapid prototyping and manufacturing (RP&M). This technique is driven by photopolymerization, which is an exothermal process. This may lead to thermal stresses significantly affecting the final quality of printed parts /products. To guarantee high...
Article
Full-text available
Stereolithography (SLA), additive manufacturing (3D printing) technique, is widely used nowadays for rapid prototyping and manufacturing (RP & M). This technique is driven by photo-polymerisation, which is an exothermal process. This may lead to thermal stresses significantly affecting the final quality of printed parts/products. To guarantee high-...
Article
Full-text available
The high investment cost, which is in majority introduced by the sensor costs, is one of the barriers for adopting Predictive Maintenance/Condition-Based Maintenance strategy in the industry. To lower this barrier, the use of cost-effective sensors for such an application is, therefore, a necessity. This paper presents experiences in setting-up two...
Preprint
Corrosion is the main root cause for offshore wind turbine (WT) structures failure (Price & Figueira, 2017; Martinez-Luengo, et al., 2016), and it has the lowest probability of detection and the biggest severity in the event of failure. Improper corrosion protection follow-up and inadequate management can result in structural degradation, e.g., off...
Preprint
Full-text available
Continuous generating gear grinding is a well-established and widely used process in the industry for large-scale production gears. It offers an economic/efficient process for finishing gears, which shapes the micro-geometry of the gear tooth flank and improves its surface quality. The resulting quality of ground gears depends on several factors, n...
Preprint
The high investment cost, which is in majority introduced by the sensor costs, is one of the barriers for adopting Predictive Maintenance/ Condition-Based Maintenance strategy in the industry. To lower this barrier, the use of cost-effective sensors for such an application is, therefore, a necessity. This paper presents experiences in setting-up tw...
Article
Full-text available
This paper brings up a novel method for detecting induction motor stator winding faults at an early stage. The contribution of the work comes from the delicate handling of motorvibration by applying envelope analysis, which makes it possible to capture electrical short-circuit signature in mechanical signals, even if the magnitude of the fault is f...
Presentation
Full-text available
This work is about an improved methodology for assessing the quality of health indicators/features for prognostics purposes.
Conference Paper
Degradation is, in general, an irreversible process where the state of a system changes from a healthy to an unhealthy state and eventually to a failure state. In the context of the Prognostics and Health Management (PHM) of industrial assets, it is of paramount importance to accurately and reliably estimate the remaining useful life (RUL) of an as...
Conference Paper
The Industry 4.0 trend is transforming the production capabilities of all industries, including the agricultural domain. This transition proves benefits when producing under variable conditions while still guaranteeing high productivity and quality. In agricultural applications, harvesters are becoming complex mechatronic systems equipped with a hi...
Conference Paper
Full-text available
Solenoid valves are critical components in many process control systems, as their failure is often a root cause for plant shutdowns. Therefore, the ability to predict the remaining useful life (RUL) of solenoid valves is highly desirable. In this paper, a novel data-driven RUL prediction methodology for solenoid valves is proposed, by training deep...
Conference Paper
Full-text available
Many production lines in the food industry, that run continuously 24 hours per day, are nowadays equipped with induction motors to drive machines to process raw materials to become final products. As the motor function in the production lines is vital, the failure of the motor can thus interrupt the production process that eventually leads to econo...
Conference Paper
Full-text available
This paper focuses on the development of a physics-based diagnostic tool for alternating current (AC) solenoid valves which are categorized as critical components of many machines used in the process industry. Signal processing and machine learning based approaches have been proposed in the literature to diagnose the health state of solenoid valves...
Chapter
A non-continuous condition monitoring approach through periodic vibration meas-urement has become a common practice in the industry. However, this approach can lead to serious misinterpretation, where rapidly growing faults, that might oc-cur in rolling element bearings, could be missed. In contrast, a continuous condi-tion monitoring approach offe...
Conference Paper
Full-text available
The envelope spectrum analysis on vibration signals has been demonstrated for many years as a powerful technique to extract effective indicators (features) for condition monitoring of rolling element bearings under stationary operating conditions. As will be shown in this paper, applying these diagnostic features without a care to rotating machines...
Conference Paper
Full-text available
A non-continuous condition monitoring approach through periodic vibration measurement has become a common practice in the industry. However, this approach can lead to serious misinterpretation, where rapidly growing faults, that might occur in rolling element bearings, could be missed. In contrast, a continuous condition monitoring approach offers...
Conference Paper
Line sensors (1D) are often used for quality monitoring of moving objects in industrial environments. They are, for instance, used to derive dimensional and geometrical information of moving objects or products. Their high sampling rate makes them well suited for retrieving information of fast moving objects. However, in fast motion the 1D sensor,...
Conference Paper
Full-text available
Contact sensors (e.g. accelerometer) have been widely used for vibration-based bearing fault diagnostics. However, in applications where the use of contact sensors is not possible, a non-contact sensor (e.g. ultrasound sensor) is a must. Besides achieving the desired functionality, namely being sensitive for fault detection, the solution should als...
Article
This paper presents the content and outcomes of the Safran contest organized during the International Conference Surveillance 8, October 20-21, 2015, at the Roanne Institute of Technology, France. The contest dealt with the diagnosis of a civil aircraft engine based on vibration data measured in a transient operating mode and provided by Safran. Ba...
Article
Scheduled maintenance and inspection of bearing elements in industrial machinery contributes significantly to the operating costs. Savings can be made through automatic vibration-based damage detection and prognostics, to permit condition-based maintenance. However automation of the detection process is difficult due to the complexity of vibration...
Article
The removal of deterministic signals (ie discrete components), which are typically dominating components in machinery vibration signals, is an important step in the diagnosis of rolling element bearing faults. The cepstral editing procedure (CEP) has become widely used for removing such components and has been attracting the attention of a number o...
Article
Full-text available
In this paper, we extend the 1-level compensation method for MEMS-based IMUs, dealing mainly with stochastic drifts, described in our previous work Yudanto et al. (Proc SPIE, 9517:95,172H-95–95,172H-12, 2015) to a 2-level compensation method dealing with both stochastic and temperature drifts. While the 1-level compensation method is based on an au...
Chapter
Foreign elements may destroy sensitive parts of mobile industrial machines such as harvesters. When such undesired transient events shall be detected, varying machine noise scenarios demand adaptive algorithms that allow for a robust detection performance. Moreover, a detection system that is too responsive reduces the machine’s speed of operation....
Conference Paper
Full-text available
The cepstral editing method for removing discrete components in vibration signals has been automated in our previous work [1]. In the automated cepstrum editing procedure (ACEP), the narrow impulses in the cepstrum domain originating from the discrete components are removed by applying a comb lifter to the real cepstrum. The comb lifter is automati...
Conference Paper
Full-text available
Foreign elements may destroy sensitive parts of mobile industrial machines such as harvesters. When such undesired transient events shall be detected, varying machine noise scenarios demand adaptive algorithms that allow for a robust detection performance. Moreover, a detection system that is too responsive reduces the machine's speed of operation....
Conference Paper
Removal of deterministic signals (i.e. discrete components), which are typically dominating components in machinery vibration signals, is an important step in the diagnosis of rolling-element bearing faults. The cepstrum editing procedure (CEP) has become widely used nowadays for removing such components and has been attracting attention of a numbe...
Article
Full-text available
Demands of low-cost prognostics tool for automatic transmission clutches (i.e. based on measurement data from sensors typically available) by industry have increased since the last few years. In this paper, a prognostics tool is developed by fusing a newly developed degradation model with the prelockup feature from measurement (i.e. engagement dura...
Conference Paper
We have developed an automatic mitigation method for compensating drifts occurring in low-cost Inertial Measurement Units (IMU), using MEMS (Microelectromechanical systems) accelerometers and gyros, and applied the method for online trajectory estimation of a moving robot arm. The method is based on an automatic detection of system’s states which t...
Article
Adhesive wear and thermal degradation are the main aging mechanisms of paper-based friction materials. However, how these aging mechanisms affect the tribological characteristics of such materials is not fully understood. In this paper, the respective influences of the two aging mechanisms on the tribological characteristics of the friction materia...
Article
Full-text available
This paper brings up a novel method for detecting induction motor stator winding faults at an early stage. The contribution of the work comes from the delicate handling of motor vibration by applying envelope analysis, which makes it possible to capture electrical short-circuit signature in mechanical signals, even if the magnitude of the fault is...
Article
In recent years, there has been a significant increase in the usage of wet-friction clutches. Presently researchers across the globe are involved in improving the performance and lifetime of clutches through testing and simulation. To understand the clutch vibrational and dynamical behavior, an SAE#2 test setup mathematical model based on extended...
Conference Paper
Full-text available
Induction motors are usually considered as one of the key components in various applications. To maintain the availability of induction motors, it calls for a reliable condition monitoring and prognostics strategy. Among the common induction motor faults, stator winding faults are usually diagnosed with current and voltage signals. However, if the...
Article
Induction motors are usually considered as one of the key components in various applications. To maintain the availability of induction motors, it calls for a reliable condition monitoring and prognostics strategy. Among the common induction motor faults, stator winding faults are usually diagnosed with current and voltage signals. However, if the...
Conference Paper
Full-text available
On-line condition monitoring systems for gearboxes that can efficiently generate a diagnostic conclusion without manual interpretation of measurement data by an expert have long been desired by industries. It is in hope that such an automatic diagnostic system can reduce the total cost for implementing a Condition Based Maintenance (CBM) strategy,...
Conference Paper
Full-text available
Separation between non-deterministic and deterministic components of gearbox vibration signals has been considered as important signal processing step for rolling-element bearing fault diagnostics. In this paper, the performance of bearing fault detection after applying various discrete components removal (DCR) methods is quantitatively compared. T...
Conference Paper
Full-text available
Three-phase induction motors are critical devices in many engineering areas including high-speed train, aerospace, electric vehicles, industrial robots, machine tools, etc. Nowadays, there is an increasing need of a condition monitoring and prognostics system for induction motors to maintain the availability of systems equipped with induction motor...
Article
This paper discusses how a qualitative understanding on the physics of failure can lead to a theoretical derivation of effective features that are useful for condition monitoring of wet friction clutches. The physical relationships between the features and the mean coefficient of friction (COF) which can be seen as the representation of the degrada...
Article
Full-text available
Despite been introduced about more than 30 years ago, the Stochastic-Resonance (SR) theory has only been gaining considerable attention in the field of condition based maintenance (CBM) in recent years. SR is a nonlinear physical phenomenon where weak signals (i.e. signals with low signal-to-noise ratio) can be enhanced by a cooperative interaction...
Article
In this paper, a friction model appropriate for wet friction clutches based on the extension of the Generalized Maxwell Slip (GMS) friction model is integrated to a four-DOF lumped-mass-spring-damper system which represents a typical SAE#2 test setup. Degradation models expressing the evolutions of the friction model parameters are also proposed, w...
Article
Wet friction clutches play a critical role in vehicles equipped with automatic transmissions, power shift transmissions and limited slip differentials. An unexpected failure occurring in these components can therefore lead to an unexpected total breakdown of the vehicle. This undesirable situation can put human safety at risk, possibly cause long-t...
Article
Full-text available
This study aims at experimentally investigating the sliding friction characteristics of a wet clutch during its lifetime. More precisely, the objective is to understand how the Stribeck and the frictional lag (i.e, sliding hysteresis) parameters evolve as the clutch degradation progresses. For this purpose, a novel test procedure has been proposed...
Article
Full-text available
This paper discusses the effects of adhesive wear and thermal degradation on the dry frictional characteristics of paper-based friction materials against steel material. Some commercial paper-based friction materials typically used for clutch applications were subjected to adhesive wear and thermal degradation and the dry frictional characteristics...
Thesis
Full-text available
Wet friction clutches are machine elements enabling the power transmission from an input shaft (driving side) to an output shaft (driven side) during the operation, based on the friction occurring in lubricated contacting surfaces. These components play a critical role in vehicles equipped with automatic transmissions, power shift transmissions and...
Conference Paper
Full-text available
Despite critical components, very little attention has been paid for wet friction clutches in the monitoring and prognostics research field. This paper presents and discusses an overall methodology for assessing the health (performance) and predicting the remaining useful life (RUL) of wet friction clutches. Three principle features extracted from...
Article
In this study the tangential contact stiffness between two elastic bodies having nominally flat surfaces with different material combinations is investigated. The tangential contact stiffness between these two elastic bodies is first calculated based on the Greenwood-Williamson-McCool contact theory. Then, the tangential contact stiffness is determ...
Article
Full-text available
This paper presents the development of a condition monitoring method for wet friction clutches which might be useful for automatic transmission applications. The method is developed based on quantifying the change of the relative rotational velocity signal measured between the input and output shaft of a clutch. Prior to quantifying the change, the...
Conference Paper
This paper presents modeling, simulation and experimental validation of the friction material degradation effects on the dynamic engagement behavior of a wet friction clutch system. The clutch system is modeled as a 3 DOF lumped-mass-spring-damper incorporating an extension of the Generalized Maxwell Slip (GMS) friction model. The effects of the dy...
Article
Digital frequency analyzers are commonly used in FRF (Frequency Response Function) measurement using impact force method. The analyzers are inevitably generating errors due to limited spectral line as well as frequency span. The FRF magnitude error has been derived by Partogi [1] theoretically. This paper describes numerical simulation used to vali...
Conference Paper
As the friction material degradation progresses, the normal contact stiffness of wet friction clutches, measured in the pre-sliding (stiction) regime that corresponds to the post-lockup phase, changes as revealed in our previous study. Consequently, change of the contact stiffness can affect the normal-mode dynamic behavior. If this hypothesis hold...