Ali Chaibakhsh

Ali Chaibakhsh
University of Guilan · Faculty of Mechanical Engineering

Ph.D. in Mechanical Engineering

About

83
Publications
87,550
Reads
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594
Citations
Introduction
Dr. Ali Chaibakhsh is an Associate Professor in Mechanical Engineering with industrial and academic research backgrounds in process control and instrumentation. His main area of expertise falls on intelligent systems design and their applications in industrial process systems. His special expertise areas are within modeling, control and fault diagnosis of power generation systems. Ali Chaibakhsh received his B.Sc. degree in 2002 from University of Guilan (Rasht, Iran), and his M.Sc. degree in 2004 from K.N. Toosi University of Technology (Tehran, Iran). He received Ph.D. in 2009 from K.N. Toosi University of Technology (Tehran, Iran) in Mechanical Engineering, where he conducted his PhD research on advanced modeling and control of once-through steam power plant.
Additional affiliations
June 2009 - present
University of Guilan
Position
  • Professor (Associate)
Education
October 2004 - June 2009
Khaje Nasir Toosi University of Technology
Field of study
  • Mechanical Engineering
October 2002 - October 2004
Khaje Nasir Toosi University of Technology
Field of study
  • Mechanical Engineering
October 1998 - September 2002
University of Guilan
Field of study
  • Mechanical Engineering

Publications

Publications (83)
Article
Full-text available
Vibration analysis is one of the most practical methods for monitoring and troubleshooting of rotating equipment. In this research, vibration analysis and support vector machine algorithm were used for monitoring and troubleshooting Alstom locomotive blowers. First, vibration data were collected from the blowers and the received signals were catego...
Conference Paper
Full-text available
This study investigates a nonlinear model-based feature extraction approach for the accurate classification of four types of heartbeats. The features are the morphological parameters of ECG signal derived from the nonlinear ECG model using an optimization-based inverse problem solution. In the model-based methods, high feature extraction time is an...
Article
This study investigates a nonlinear model-based feature extraction approach for the accurate classification of four types of heartbeats. The features are the morphological parameters of ECG signal derived from the nonlinear ECG model using an optimization-based inverse problem solution. In the model-based methods, high feature extraction time is a...
Article
Effective fault detection, estimation, and isolation are essential for the safety and reliability of gas turbines. In this article, a hybrid fault detection and isolation (FDI) approach is presented for condition monitoring of heavy-duty gas turbines. First, nonlinear dynamical models are constructed using an orthonormal basis function and an adapt...
Article
As a result of the emergence and integration of communication technologies within the industrial control systems, new requirements in terms of stability, performance and robustness against disturbances should be met in order to deal with the effects of the delay induced by networks. In this paper, the analytical design of a networked cascade contro...
Article
A brain-computer interface (BCI) is a system that makes communication between an external device and the brain based on the brain's neural activity. This communication is conducted by analyzing brain signals, so extracting and selecting those features of the brain signals that distinguish between humans' different activities are essentially importa...
Article
Full-text available
This paper describes the design and implementation of intelligent dynamic models for fault detection and isolation of V94.2(5)/MGT-70(2) single-axis heavy-duty gas turbine system. The series-parallel structure of nonlinear autoregressive exogenous (NARX) models are used for fault detection, which initiate greater robustness and stability against un...
Conference Paper
In this study, an efficient strategy for fault detection and isolation (FDI) of an Industrial Gas Turbine is introduced based on ensemble learning methods. Four independent Wiener models are identified by employing plant input/output data to determine system behavior. Following that, an ensemble-based method is established, which utilizes all the W...
Article
In this paper, a new fusion scheme based on the Dempster–Shafer Evidence Theory (DSET) is introduced for Epileptic Seizure Detection (ESD) in brain disorders. Firstly, various features in temporal, spectral, and temporal-spectral domains are extracted from Electroencephalogram (EEG) signals. Afterward, a Correlation analysis via the Pearson Correla...
Conference Paper
Full-text available
In this paper, the type and location of unbalanced and bearing faults in rotary machines are investigated. The data used in this work is provided by the rotary machine fault simulator. These data include 14 different states, including 13 modes with unbalanced and bearings faults at different locations and a healthy mode, recorded by six acceleratio...
Presentation
Full-text available
The controlling of the servo pneumatic system is an interesting topic of research over the past few decades. Since the pneumatic system has a high nonlinearity nature and challenging control process, many research works have been done using different control algorithms for the pneumatic servo system. PID controller is a model-free linear type contr...
Presentation
Full-text available
Communication between the actuator (fan) and the controller (computer) is handled by the Arduino board which receives position feedback from the infrared sensor. In order to achieve an air stream capable of levitating balls with different masses, a fan with high air volume and static pressure was required. A 12V DC fan is inserted into a hole in a...
Presentation
Full-text available
To validate the model, the behavior of the real system and simulation diagrams are compared through applying a unique control signal in form of sinusoidal wave and in range of 0 to 10 volts at a frequency of 2 Hz to both Simulink model and experimental setup. It can be inferred from this video clip that, model response and real system response to a...
Article
Full-text available
In this paper, the multi-sensor fault diagnosis in the exhaust temperature sensors of a V94.2 heavy-duty gas turbine is presented. A Laguerre network-based fuzzy modeling approach is presented to predict the output temperature of the gas turbine for sensor fault diagnosis. Due to the nonlinear dynamics of the gas turbine, in these models the Laguer...
Article
Cyber-physical systems, such as large power plants, apply open networks for monitoring and control purposes. This may increase the risk of cyberattacks to these infrastructures. Cybersecurity methods have been employed as promising techniques to deal with cyber threats and isolate possible cyberattacks. This article introduces a new security manage...
Conference Paper
In this study, fault detection and fault diagnosis in the high-pressure tubes of a combined cycle power plant’s high pressure steam generator was investigated. Identification and prevention from fault propagation in combined cycle power plants plays the main role in improving the reliability and safety of these systems. In this work, leakage faults...
Conference Paper
Full-text available
in this paper, design, fabrication, modeling, and control of a low-cost ball and pipe air levitation laboratory system for educational purposes is investigated. Ball and pipe laboratory setup is a dynamic benchmark system, designed to control the position of the ball on a vertical upward airflow that counteracts the gravitational force exerted on t...
Article
This paper addresses the robust fault diagnosis of power plant gas turbine as an uncertain nonlinear system using a new adaptive threshold method. In order to determine the bounds of the adaptive threshold and to identify neural network thresholds modelling, an approach based on Monte Carlo simulation is employed. To evaluate the performance of the...
Conference Paper
Most of the BCI systems need EEG data with several channels to reach good accuracy. However, exceedingly increasing the channel need will increase the amount of calculation, and in some cases, decrease the accuracy and will also make the implementation of a BCI system difficult. Therefore, identifying the most effective channels in BCI systems is c...
Conference Paper
This paper introduces a cyber-secure strategy for radar tracking systems. Two common cyber-attacks including denial-of-service (DoS) and false data injection (deception) attacks are investigated. The proposed secure control strategy consists of two subsystems: 1) an attack detection and isolation (ADI) subsystem, and 2) a resilient observer (RO) su...
Article
In this paper, based on clinical measurements from the individual patient firstly the most effective parameters of the immune system of the patient is derived using global sensitivity analysis. To accomplish global sensitivity analysis effectively Latin hypercube sampling (LHS), partial rank correlation coefficients (PRCCs) and Dempster-Shafer (D-S...
Experiment Findings
Full-text available
Design, construction, modeling, and control of Ball and Pipe air levitation laboratory system for educational purpose. https://www.youtube.com/watch?v=j1qR7Cu3CrA&t=21s
Conference Paper
Networked-based controllers have been widely used in network systems due to their high flexibility, ease of installation and maintenance, low cost and high reliability. In spite of these advantages in these systems, the existence of communication delays due to bandwidth limitation and packet loss lead to instability of control systems. The purpose...
Conference Paper
In this study, a multi-sensor feature fusion based fault detection approach was presented to deal with abnormal operating conditions in a sub-section of a Benson® type boiler. Four different filter-type feature selection were employed for ranking features. Dempster–Shafer evidence theory was employed to fuse the selected features and to increase th...
Article
Seismic base isolations are well‐established passive control systems, used for reducing structural responses and preventing interior sensitive equipment and nonstructural elements from damaging. However, in a base‐isolated structure under near‐fault earthquakes, isolated layers sustain large displacements that might not be allowable. Further, any p...
Conference Paper
Full-text available
Pneumatic technology plays an important role in modern mechatronic systems. They widely use in industries due to good power density, high travel speed, cleanness and simple operation mechanism. Pneumatic actuators exhibit nonlinear behavior in control applications given by air compressibility, mass flow characteristics, etc. Smooth and precise moti...
Article
Full-text available
Stable control of haptic interfaces is one of the most important challenges in haptic simulations, because any instability of a haptic interface can cause it to get far from the realistic sense. In this paper, the control strategies employed for a stable haptic rendering in an interactive virtual control laboratory are presented. In this interactiv...
Article
Full-text available
Burner failures are common abnormal conditions associated with industrial fired heaters. Preventing from economic loss and major equipment damages can be attained by compensating the lost heat due to burners' failures, which can be possible by defining appropriate setpoints to rearrange the firing rates for healthy burners. In this study, artificia...
Preprint
Full-text available
This paper presents an application of adaptive control algorithm in order to reject the external disturbances in dual-stage hard disk drives. For this purpose, a dual PID controller is first designed without the plant exposure to external disturbances. Then, an adaptive control approach based on recursive least squares adaptive (RLS) algorithm was...
Conference Paper
Full-text available
this publication is about an applied novel modeling of a laboratory scale servo pneumatic system. it concludes a novel mathematical modeling, simulation and experimental results and validation process.
Article
Full-text available
In this study, an analytical model is developed to characterize the transient behaviour of a heavy-duty gas turbine unit. While deriving models based on mass and energy conservation, the lack of essential variables such as air mass flow rate is a major problem. Constrained nonlinear optimization problems were served to obtain the unknown parameters...
Article
Full-text available
Fouling is one the most serious problems in the refineries that could have irreparable consequences. In this paper, fouling detection inside of the tubes in the radiation section of an industrial fired-heater furnace has been investigated. The aim of this research is to identify the fouling rate based on the independent inputs and outputs of the fu...
Article
Full-text available
This study presents an application of intelligent fault detection system for recognizing abnormal conditions during transient operation of a steam generator unit. Unobserved dynamics of evaporator section have been caused multiple false alarms and boiler emergency shut-downs. In order to detect faulty conditions, four different classifier agents we...
Article
Full-text available
In this study, an application of support vector machine (SVM) for early fault detection in increasing the level of the start-up vessel in a Benson type once-through boiler during load changes is presented. The level increasing in the start-up vessel is happened due to thermal conditions disruption inside the boiler especially while the unit load is...
Article
Full-text available
In this study, feedback-feedforward control system design and optimizing the performance of crude oil furnace process was investigated in order to be recovered from possible abnormal conditions. First, by developing an accurate nonlinear analytical model, the effects of changes in input parameters and operating conditions on the system’s outputs we...
Article
Full-text available
In this study, an application of support vector machines is presented for fouling detection and estimating the amount of deposit layer development and tube blockage percent at the radiation section of the furnace. Crude oil preheat furnaces are the main elements in processing crude oil in distillation towers, which may always suffer from fouling an...
Article
Full-text available
Considering that Once-through Benson boiler is one of the most crucial equipments of a thermal power plant, occurrence of any fault in its different parts can lead to decrease of the performance of system, and even may cause system damage and endanger the human life. In this paper, due to the high complexity of the system's dynamic equations, we ut...
Conference Paper
Full-text available
This study presents an application of Laguerre network-based hierarchical fuzzy modeling approach in fault diagnosis of the temperature sensors in industrial heavy duty gas turbines. The recorded experimental data from the performances of a V94.2 gas turbine unit were employed in modeling stage. A comparison between the responses of the models and...
Data
This is an example to explain how it is possible to connect a MATLAB Simulink mdl file to the genetic algorithm (or other methods) optimization toolbox.
Article
Full-text available
In this paper, a hybrid model of vehicle and passenger is proposed to predict the head acceleration in the front crash. A lumped mass model with 12-degree-of-freedom (DOF) is first used to predict the behavior of vehicle in front crash. In this model, any member of vehicle is modeled as a lumped mass and connected to the other members through some...
Article
Full-text available
To describe nonlinear behavior characteristics of MR damper, various models have been proposed in last two decades, which could be classified in two hard and soft computing fields. First in this study, some of the best-proposed hard computing (parametric) models of MR damper are chosen and identified by genetic algorithm (GA) under equal conditions...
Data
This code could be used for clustering by fuzzy c-means (FCM) (a modified version of genfis3 MATLAB function) and by using a validity function proposed by Xie and Beni. X.L. Xie, and G. Beni, “A validity measure for fuzzy clustering,” IEEE Trans. Pattern Analysis and Machine, vol. 13, pp. 841-847, 1991.
Conference Paper
Full-text available
In this paper, a precise and nonlinear model is developed for Nekka power plant turbine from its experimental data and documents. It is proposed to use boiler-turbine coordinated control system to increase effective efficiency of the steam unit. Identification procedures have been performed to obtain continuous time models of Nekka steam turbine at...
Article
Full-text available
A Wiener-Laguerre model with artificial neural network (ANN) as its nonlinear static part was employed to describe the dynamic behavior of a sequencing batch reactor (SBR) used for the treatment of dye-containing wastewater. The model was developed based on the experimental data obtained from the treatment of an effluent containing a reactive texti...
Article
Full-text available
The main aim of this research is to demonstrate effectiveness of soft computing techniques in thermo-hydraulic behavior modeling of passive heat transfer enhancement (HTE) techniques. An artificial neural network (ANN) and adaptive neuro-fuzzy inference system (ANFIS), two effective modeling methods, have been used to model Nusselt numbers and fric...
Article
Full-text available
An application of model-based coordinated control concept for improving the performance and maneuverability of once-through power plants is presented. In this structure, neuro-fuzzy-based Hammerstein models are employed as the core of feedforward (FF) controller to generate the reference trajectories for the plant’s subsystems. The setpoints for fu...
Article
Full-text available
In this paper, fuzzy models with orthonormal basis functions (OBF) framework are employed for modeling the nonlinear dynamics of biological treatment processes. These models are consisting of a linear part describing the system dynamics (Laguerre filters) followed by a non-linear static part (fuzzy system). The training procedure contains of two ma...
Article
Full-text available
This paper presents the development of mathematical model and designing a temperature control system for an industrial preheating furnace. In the first part of the paper, the simulation model was developed based on thermodynamics principles, energy-mass balance and semi-empirical relations. The parameters of developed models were defined with respe...
Article
Full-text available
The Magneto-rheological (MR) dampers are favorite mechanical system in dynamic structures. This paper presents an application of Wiener-type nonlinear models for describing the hysteresis behaviors of MR dampers at different operating conditions. In this structure, a linear part consisting discrete-time Kautz filters is cascading by a nonlinear map...
Article
Full-text available
Developing accurate non-linear dynamical models for heat recovery steam generator (HRSG) units is presented in this article. The common non-linear autoregressive with exogenous input (NARX) system topology was employed to develop the neuro-fuzzy models based on the experimental data taken during field experiments. In this structure, the non-linear...
Article
Full-text available
In this paper, an application of dynamic neuro-fuzzy systems is presented for modeling the subsystems of the heat recovery steam generator (HRSG). The dynamic neuro-fuzzy models were developed based on the formal NARX models topology. The clustering techniques were employed to define the structure of the fuzzy models by dividing the entire operatin...
Article
Full-text available
The combination of neural network and fuzzy inference system has widely used to imitate more precisely the behavior of nonlinear plants, with less computation effort. However, the derivative-based nature of adaptive networks causes some deficiencies. Therefore, in this paper, a novel approach that employ genetic algorithm, as a derivative-free algo...
Article
Full-text available
In this paper, an application of a neuro-fuzzy modeling approach is presented in order to characterize the essential behavior of enzymatic esterification processes. The accuracy of the developed model was validated by comparing the response of the model and actual experimental data. The simulation results showed good generalization of the proposed...
Article
Full-text available
Magneto-rheological (MR) fluid damper is a semiactive control device that has recently received more attention by the vibration control community. But inherent hysteretic and highly nonlinear dynamics of MR fluid damper is one of the challenging aspects to employ its unique characteristics. The combination of artificial neural network (ANN) and fuz...
Conference Paper
Full-text available
This paper presents an application of a neuro-fuzzy modeling approach in order to characterize essential behavior of biological processes. The gathered information from experiments was employed to develop a fuzzy model for an enzyme-catalyzed esterification process. The accuracy of developed model was validated by comparing the response of the mode...
Conference Paper
Full-text available
In order to adjust temperatures of superheating sections in a once-through steam generator, a combined feedback-feedforward fuzzy logic control approach is presented in this paper. This structure is employed in a coupled two-stage attemperation strategy in order to distribute the total spray demand between attemperation stages. The inverse-feedforw...
Conference Paper
Full-text available
In this paper, in order to improve the performance and maneuverability of a once-through power plant, a modified version of coordinated control strategy based on feedback-feedforward fuzzy control is presented. At the supervisory level of this system, a model-based controller generates the feedforward setpoints for fuel, pressure and unit load with...