ali saghafinia

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Ali Saghafinia was born in Esfahan, Iran, in 1973. He received a B.Sc. Degree in electronic engineering from Najafabad Branch, Islamic Azad University, Iran in 1995 and the M.Sc. A degree in electrical engineering was awarded from Isfahan University of Technology (IUT) in 2001. He was a lecturer at the Department of Electrical Engineering, Majlesi Branch, Islamic Azad University, Esfahan, Iran during 2002-2008. His Ph.D. degree was awarded in 2013 by the University of Malaya, Kuala Lumpur, Malaysia in electrical engineering. Dr. Ali Saghafinia passed as a postdoctoral research fellow at UM Power Energy Dedicated Advanced Centre (UMPEDAC), the University of Malaya in 2013-2014. Dr. Ali Saghafinia was an Assistant Professor at Majlesi Branch, Islamic Azad University, 2014until now.

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Induction motor fault tolerant control with wavelet indicator

by khalaf Gaeid and ali saghafinia

Fault tolerant control of induction motors is proposed using both vector control as the dominant ... more Fault tolerant control of induction motors is proposed using both vector control as the dominant controller and a Voltage-to-Frequency (V/F) controller as the complimentary controller. The system falls back on the V/ F controller when either stator short winding or stator open winding faults occur. The wavelet index is used as fault indicator. To estimate the speed, a novel Boosted Model Reference Adaptive System (BMRAS) is used. To develop a new fault tolerant control algorithm, a protection unit is added to the main circuit to stop the induction motor operation in the case of high severity faults.

Harmonic analyses in industrial, business and education center of mazandaran

Adaptive wavelet transform to side frequencies accuracy Detection and their amplitude in rotor fault of 3-phase induction motor

Textile supplier selection in sustainable supply chain using a modular fuzzy inference system model

The Journal of The Textile Institute, 2016

Teaching of Simulation an Adjustable Speed Drive of Induction Motor Using MATLAB/Simulink in Advanced Electrical Machine Laboratory

Procedia - Social and Behavioral Sciences, 2013

The simulation of motor complicated applications conventionally can be a challenge for both under... more The simulation of motor complicated applications conventionally can be a challenge for both undergraduate and postgraduate levels. To easy implementation for several kinds of control structures of an induction motor (IM) drive, some simulators such as MATLAB/Simulink to be necessary-especially for students-to develop and test various motor control algorithms in conducting electrical machines courses. In this paper, how to teach and simulate an adjustable speed drive of IM using Simulink blocks for an indirect field-oriented control (IFOC) algorithm is presented. The effectiveness of the adjustable IM drive is verified by simulation results at different operating conditions over a wide speed range.

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On line trained fuzzy logic and adaptive continuous wavelet transform based high precision fault detection of IM with broken rotor bars

2012 IEEE Industry Applications Society Annual Meeting, 2012

ABSTRACT This paper presents an online trained fuzzy logic and adaptive wavelet based high precis... more ABSTRACT This paper presents an online trained fuzzy logic and adaptive wavelet based high precision fault detection of broken rotor bars for squirrel cage induction motor (IM). Motor faults which consist of broken rotor bars, bearing decay, eccentricity, etc. appears as different frequencies in the stator current signals. The winding function is used to obtain stator current and speed signals at different fault and load conditions. These signals are analysed through the adaptive continuous wavelet transform (CWT) to detect the amplitudes and frequency components corresponding to different fault and load conditions. The coefficients of CWT are adapted online based on the harmonics amplitude, which are the output of CWT. These amplitudes and frequencies are applied to train a fuzzy logic controller (FLC) in simulation. Then the adaptive CWT and trained FLC are applied to detect the fault condition of a large size motor in both simulation and realtime. The experimental results found that the proposed adaptive CWT and FLC based fault detection method can detect the motor fault conditions accurately. Thus, the proposed method could be a potential candidate to detect the motor fault, especially for large size industrial motors.

Development of Fuzzy Applications for High Performance Induction Motor Drive

Induction Motors - Applications, Control and Fault Diagnostics, 2015

Induction motor fault tolerant control with wavelet indicator

Proceedings 2011 International Conference on Transportation Mechanical and Electrical Engineering, 2011

Evaluation Using Fuzzy inference systems

Adaptive Fuzzy Sliding-Mode Control Into Chattering-Free IM Drive

Ieee Transactions on Industry Applications, 2015

Selection of Electric Energy Production Technologies using DEA (Case Study: Iran)

Fuzzy theory applied in supplier selection problem: A taxonomic sample

Applying a Mathematical Model for Green Supply Chain Management

Variable Boundary Layer Sliding mode Approach to Control Electric Drives

Supply chain management: supplier selection and performance evaluation

Broken Rotor Bar Fault Detection of 3-phase Induction Motor Using Online Adaptive Continuous Wavelet Transform and Fuzzy Logic

International Review of Electrical Engineering

Supplier performance measurement of palm oil industries from a sustainable point of view in Malaysia

Indian Journal of Biotechnology

TheMalaysian palmoilmanufacturing is composed of related parts which produce different kinds of p... more TheMalaysian palmoilmanufacturing is composed of related parts which produce different kinds of products for their customers. Due to the growth of knowledge on sustainability issues in supply chain management, all of components of the chain must have affinity with sustainability paradigm; this includes the suppliers. So, efficient supply chain by sustainable suppliers is inevitable for palmoil industry to meet the rising global demand. Since, the nature of supplier selection is a multi-criteria decision making problem, this paper applies data envelopments analysis (DEA) to select appropriate suppliers. Sustainable supplier selection criteria which derived frominterviews are considered as inputs and outputs forDEAmodel.

Supplier selection in Electrical &Electronic industry from a sustainable point of view

the Malaysian Electrical & Electronic industry (E&E) is an important contributor to the supply ch... more the Malaysian Electrical & Electronic industry (E&E) is an important contributor to the supply chain of business activities around the world. In addition, due to the growth of knowledge on sustainability issues in supply chain management, E&E industry's suppliers as a key component of the chain must have affinity with sustainability issues. So, a real-life supplier selection problem from the E&E industry in Malaysia is considered in this paper. Since, the nature of supplier selection is a multi-criteria decision making problem, this paper applies data envelopments analysis (DEA) to select appropriate suppliers. Sustainable supplier selection factors which derived from literature and interview are considered as inputs and outputs for DEA model.

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Designing Self-Tuning Mechanism on Hybrid Fuzzy Controller for High Performance and Robust Induction Motor Drive

Supplier Evaluation Using Fuzzy sets

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