Search results for: Jafar Zarei

Items from 1 to 20 out of 29 results

article

Robust Fault Detection Filter Design for Nonlinear Networked Control Systems with Time-Varying Delays and Packet Dropout

Hossein Kargar, Jafar Zarei, Roozbeh Razavi-Far

Circuits, Systems, and Signal Processing > 2019 > 38 > 1 > 63-84

This paper deals with the problem of detecting faults in nonlinear networked control systems. The considered system is the state space models of time-varying systems in which the upper and lower bounds of delay are known. Sector-bounded condition is exploited to overcome the nonlinear term. It is assumed that data packet dropouts occur during data transmission, which here is modeled as Bernoulli-distributed...

chapter

Broken rotor bars detection in induction motors using Cubature Kalman Filter

Elham Kowsari, Jafar Zarei, Roozbeh Razavi-Far, Mehrdad Saif

IECON 2017 - 43rd Annual Conference of the IEEE Industrial Electronics Society > 8567 - 8571

IECON 2017 - 43rd Annual Conference of the IEEE Industrial Electronics Society

This paper presents a new approach for broken rotor bars detection in induction motors. When broken rotor bar occurs, the rotor resistance will increase. Furthermore, thermal effects of rotor resistance are considered to address practical aspects. Therefore, a suitable method to detect broken rotor bar is rotor resistance estimation. An applicable method in state estimation is Cubature Kalman Filter...

chapter

Fractional order unknown input filter design for fault detection of discrete linear systems

Jafar Zarei, Mahmood Tabatabaei, Roozbeh Razavi-Far, Mehrdad Saif

IECON 2017 - 43rd Annual Conference of the IEEE Industrial Electronics Society > 4333 - 4338

IECON 2017 - 43rd Annual Conference of the IEEE Industrial Electronics Society

This work deals with the problem of filter design for disturbance decoupling in discrete-time linear fractional order systems (FOS) under noisy environments. To this end, Fractional Unknown Input Filter (FUIF) is developed based on Fractional Kalman Filter (FKF) framework. Accordingly, the proposed structure can result in robustness against unknown inputs (UIs) in noisy environments. This algorithm...

chapter

Robust fault-tolerant control of uncertain networked control systems subject to random delays and data packet dropouts

Mohsen Bahreini, Jafar Zarei, Roozbeh Razavi-Far, Mehrdad Saif

2017 IEEE International Conference on Systems, Man, and Cybernetics (SMC) > 2459 - 2464

2017 IEEE International Conference on Systems, Man and Cybernetics (SMC)

This paper investigates the problem of network-based fault-tolerant controller design for networked control systems (NCSs) in the presence of random delays and data packet dropouts. A novel actuator fault model which is more general and practical than the conventional actuator fault models is developed. Considering this new fault model, the NCSs are firstly modeled as a Markovian jump system (MJS)...

article

Unknown Input Observer Design for Interval Type-2 T–S Fuzzy Systems With Immeasurable Premise Variables

Hossein Hassani, Jafar Zarei, Mohammed Chadli, Jianbin Qiu

IEEE Transactions on Cybernetics > 2017 > 47 > 9 > 2639 - 2650

This paper deals with the problem of robust unknown input fault detection observers (UIFDOs) design for interval type-2 Takagi–Sugeno (T–S) fuzzy systems with immeasurable premise variables. It has been shown that choosing the system states, which may be immeasurable, as premise variables, will able us to model a larger class of nonlinear systems. Accordingly, the premise variables of underlying system...

article

zSlices-Based General Type-2 Fuzzy Fusion of Support Vector Machines With Application to Bearing Fault Detection

Hossein Hassani, Jafar Zarei, Mohammad Mehdi Arefi, Roozbeh Razavi-Far

IEEE Transactions on Industrial Electronics > 2017 > 64 > 9 > 7210 - 7217

This paper proposes a fusion model to enhance classification accuracy of support vector machines (SVMs) for fault detection. The proposed method consists of two different phases, where in the first phase, different SVMs are constructed based on training datasets, and these trained SVMs are evaluated with respect to test datasets by calculating distances between test samples and trained hyperplanes...

article

New stability and stabilization conditions for nonlinear systems with time-varying delay based on delay-partitioning approach

Pavin Mahmoudabadi, Mokhtar Shasadeghi, Jafar Zarei

ISA Transactions > 2017 > 70 > C > 46-52

This paper focuses on stability analysis and stabilization of nonlinear systems with interval time-varying delay, modeled by Takagi-Sugeno (T-S) fuzzy approach. To achieve more relaxation in the feasibility region, delay-partitioning approach is used for all integral terms in the Lyapunov-Krasovskii functional (LKF). A fuzzy Lyapunov function is proposed instead of non-integral term in LKF, and moreover,...

article

Robust Finite-Time Stabilization for Networked Control Systems via Static Output-Feedback Control: Markovian Jump Systems Approach

Mohsen Bahreini, Jafar Zarei

Circuits, Systems, and Signal Processing > 2018 > 37 > 4 > 1523-1541

The problems of robust finite-time stochastic stability and stabilization of uncertain networked control systems (NCSs) in the presence of random delays are considered in this paper. First, network-induced random delays are modeled as a Markov chain, and the resulting closed-loop system is transformed into a Markovian jump linear system (MJLS). Since the accurate access to the transition probabilities...

chapter

One-class classifiers for detecting faults in induction motors

Roozbeh Razavi-Far, Maryam Farajzadeh-Zanjani, Shokoofeh Zare, Mehrdad Saif, more

2017 IEEE 30th Canadian Conference on Electrical and Computer Engineering (CCECE) > 1 - 5

2017 IEEE 30th Canadian Conference on Electrical and Computer Engineering (CCECE)

This paper deals with the problem of broken rotor bar detection in induction motors. In this technique current signal monitoring of an induction motor is applied to characterize its operation condition, and identify the normal state from broken rotor bar situation. To this aim, a fault detection scheme is proposed, which makes use of a low computational cost pre-processing method along with the six...

article

Non-parametric fault detection methods in non-linear systems

Elham Kowsari, Behrooz Safarinejadian, Jafar Zarei

IET Science, Measurement & Technology > 2016 > 10 > 3 > 167 - 176

In this study, two fault detection methods are proposed for non-linear systems. In these methods, Gaussian process (GP) is integrated into extended Kalman filter (EKF) and square root cubature Kalman filter (SCKF), which are called GP-EKF and GP-SCKF, respectively. The most important advantage of the proposed methods is that there is no need to know the accurate model of the system. Therefore, these...

chapter

Bearing fault detection based on interval type-2 fuzzy logic systems for support vector machines

Jafar Zarei, Mohammad Mehdi Arefi, Hossein Hassani

2015 6th International Conference on Modeling, Simulation, and Applied Optimization (ICMSAO) > 1 - 6

2015 6th International Conference on Modeling, Simulation and Applied Optimization (ICMSAO)

A method based on Interval Type-2 Fuzzy Logic Systems (IT2FLSs) for combination of different Support Vector Machines (SVMs) in order to bearing fault detection is the main argument of this paper. For this purpose, an experimental setup has been provided to collect data samples of stator current phase a of the induction motor using healthy and defective bearing. The defective bearing has an inner race...

article

Convergence analysis of non-linear filtering based on cubature Kalman filter

Jafar Zarei, Ehsan Shokri

IET Science, Measurement & Technology > 2015 > 9 > 3 > 294 - 305

This study analyses the stability of cubature Kalman filter (CKF) for non-linear systems with linear measurement. The certain conditions to ensure that the estimation error of the CKF remains bounded are proved. Then, the effect of process noise covariance is investigated and an adaptive process noise covariance is proposed to deal with large estimation error. Since adaptation law has a very important...

article

Adaptive output feedback neural network control of uncertain non-affine systems with unknown control direction

Mohammad M. Arefi, Jafar Zarei, Hamid R. Karimi

Journal of the Franklin Institute > 2014 > 351 > 8 > 4302-4316

This paper deals with the problem of adaptive output feedback neural network controller design for a SISO non-affine nonlinear system. Since in practice all system states are not available in output measurement, an observer is designed to estimate these states. In comparison with the existing approaches, the current method does not require any information about the sign of control gain. In order to...

chapter

Fault detection in induction motors using Park's vector approach and wavelet analysis

Jafar Zarei, Shirin Yousefizadeh

2014 International Conference on Mechatronics and Control (ICMC) > 1064 - 1068

2014 International Conference on Mechatronics and Control (ICMC)

In this paper, Park's vector analysis with wavelet packet transform has been proposed in order to detect bearing faults of induction motor. Park vector eliminates the main frequency of the original current measurement signal and increases the amplitude of the fault components. Employing wavelet packet transform, due to its ability in non-stationary signal analysis, improves the performance of the...

chapter

Bearing fault detection via Park's vector approach based on ANFIS

Majid Saeidi, Jafar Zarei, Hossein Hassani, Ali Zamani

2014 International Conference on Mechatronics and Control (ICMC) > 2436 - 2441

2014 International Conference on Mechatronics and Control (ICMC)

In this paper, Park's vector transformation and frequency domain analysis for fault detection of induction motors are introduced. Then a smart approach based on Adaptive Nuero Fuzzy Inference System (ANFIS) that uses time domain features obtained from the Park's transformation of stator currents is proposed for fault detection. By the proposed method, a 1 mm hole on the inner race and two faults including...

chapter

Position control of two balls in two interconnected vertical tubes using controlled DC fans and sliding mode control

Reza Masoudi, Shirin Yousefizadeh, Pedram Hajiani, Jafar Zarei

2014 International Conference on Mechatronics and Control (ICMC) > 1629 - 1633

2014 International Conference on Mechatronics and Control (ICMC)

The aim of this paper is to control the position of two balls in interconnected vertical tubes using two dc fans, ultrasonic sensors and computerized controller. A comparison of different kinds of controllers is performed to find the best adjustment. Indeed, by controlling the speed of a fan that pumps the air toward a ball, the air pressure under the ball will be adjusted such that it suspends the...

chapter

Broken rotor bars detection via Park's vector approach based on ANFIS

Jafar Zarei, Hosein Hassani, Zuolong Wei, Hamid Reza Karimi

2014 IEEE 23rd International Symposium on Industrial Electronics (ISIE) > 2422 - 2426

2014 IEEE 23rd International Symposium on Industrial Electronics (ISIE)

Many attempts have been made on fault diagnosis of induction motors based on frequency and time domain analysis of stator current. In this paper, first the Park's vector transformation and frequency analysis for fault detection of induction motors are introduced. Then a smart approach using Adaptive Neuro Fuzzy Inference System (ANFIS) is proposed. This approach uses the time domain features derived...

chapter

Robust fault detection design for unknown inputs Takagi-Sugeno models with parametric uncertainties and time-varying delays

Saeed Ahmadizadeh, Hamid Reza Karimi, Jafar Zarei

2014 European Control Conference (ECC) > 756 - 761

2014 European Control Conference (ECC)

This paper deals with the design of robust fault detection system for Takagi-Sugeno (T-S) modes with parametric uncertainties and time-varying delay. An Unknown Input Observer (UIO) is designed such that the unknown inputs are thoroughly decoupled from residual signals while they show the maximum possible sensitivity to the faults and the minimum possible sensitivity to the external disturbances....

chapter

Fault diagnosis of induction motors broken rotor bars by pattern recognition based on noise cancelation

Jafar Zarei, Mohammad Amin Tajeddini, Hamid Reza Karimi

2014 IEEE 23rd International Symposium on Industrial Electronics (ISIE) > 2451 - 2456

2014 IEEE 23rd International Symposium on Industrial Electronics (ISIE)

Current signal monitoring (CSM) can be used as an effective tool for diagnosing broken rotor bars fault in induction motors. In this paper, fault diagnosis and classification based on artificial neural networks (ANNs) is done in two stages. In the first stage, a filter is designed to remove irrelevant fault components (such as noise) of current signals. The coefficients of the filter are obtained...

chapter

Convergence analysis of cubature Kalman filter

Jafar Zarei, Ehsan Shokri, Hamid Reza Karimi

2014 European Control Conference (ECC) > 1367 - 1372

2014 European Control Conference (ECC)

This paper investigates the stability analysis of cubature Kalman filter (CKF) for nonlinear systems with linear measurement. The certain conditions to ensure that the estimation error of CKF remains bounded are proved. Then, the effect of process noise covariance is investigated and an adaptive process noise covariance is proposed to deal with large estimation error. Accordingly, a modified CKF (MCKF)...

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INFONA - science communication portal

Search results for: Jafar Zarei

Robust Fault Detection Filter Design for Nonlinear Networked Control Systems with Time-Varying Delays and Packet Dropout

Broken rotor bars detection in induction motors using Cubature Kalman Filter

Fractional order unknown input filter design for fault detection of discrete linear systems

Robust fault-tolerant control of uncertain networked control systems subject to random delays and data packet dropouts

Unknown Input Observer Design for Interval Type-2 T–S Fuzzy Systems With Immeasurable Premise Variables

zSlices-Based General Type-2 Fuzzy Fusion of Support Vector Machines With Application to Bearing Fault Detection

New stability and stabilization conditions for nonlinear systems with time-varying delay based on delay-partitioning approach

Robust Finite-Time Stabilization for Networked Control Systems via Static Output-Feedback Control: Markovian Jump Systems Approach

One-class classifiers for detecting faults in induction motors

Non-parametric fault detection methods in non-linear systems

Bearing fault detection based on interval type-2 fuzzy logic systems for support vector machines

Convergence analysis of non-linear filtering based on cubature Kalman filter

Adaptive output feedback neural network control of uncertain non-affine systems with unknown control direction

Fault detection in induction motors using Park's vector approach and wavelet analysis

Bearing fault detection via Park's vector approach based on ANFIS

Position control of two balls in two interconnected vertical tubes using controlled DC fans and sliding mode control

Broken rotor bars detection via Park's vector approach based on ANFIS

Robust fault detection design for unknown inputs Takagi-Sugeno models with parametric uncertainties and time-varying delays

Fault diagnosis of induction motors broken rotor bars by pattern recognition based on noise cancelation

Convergence analysis of cubature Kalman filter

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