IGBT fault detection for three phase motor drives using neural networks

Motor drives are widely used in industry for controlling the speed of three phase AC motors. Faults in motor drives degrade motor performance and can cause catastrophic failures. IGBT (Insulated Gate Bipolar Transistor) switch faults are one of the main roots of electrical faults in inverters and mo...

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Main Authors: Alavi, Marjan, Luo, Ming, Wang, Danwei, Bai, Haonan
Other Authors: School of Electrical and Electronic Engineering
Format: Conference Paper
Language:English
Published: 2013
Subjects:
Online Access:https://hdl.handle.net/10356/102805
http://hdl.handle.net/10220/16439
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author Alavi, Marjan
Luo, Ming
Wang, Danwei
Bai, Haonan
author2 School of Electrical and Electronic Engineering
author_facet School of Electrical and Electronic Engineering
Alavi, Marjan
Luo, Ming
Wang, Danwei
Bai, Haonan
author_sort Alavi, Marjan
collection NTU
description Motor drives are widely used in industry for controlling the speed of three phase AC motors. Faults in motor drives degrade motor performance and can cause catastrophic failures. IGBT (Insulated Gate Bipolar Transistor) switch faults are one of the main roots of electrical faults in inverters and motor drives. In this paper, a method based on neural network is implemented to detect and isolate switch faults in a three phase voltage source inverter. Only the output signals of the inverter are monitored. The entropy of the phase current and voltage is selected as the switch fault feature. Single and multiple short and open circuit switch faults are isolable with this method.
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spelling ntu-10356/1028052020-03-07T12:47:12Z IGBT fault detection for three phase motor drives using neural networks Alavi, Marjan Luo, Ming Wang, Danwei Bai, Haonan School of Electrical and Electronic Engineering IEEE Conference on Emerging Technologies & Factory Automation (17th : 2012 : Krakow, Poland) A*STAR SIMTech DRNTU::Engineering::Electrical and electronic engineering Motor drives are widely used in industry for controlling the speed of three phase AC motors. Faults in motor drives degrade motor performance and can cause catastrophic failures. IGBT (Insulated Gate Bipolar Transistor) switch faults are one of the main roots of electrical faults in inverters and motor drives. In this paper, a method based on neural network is implemented to detect and isolate switch faults in a three phase voltage source inverter. Only the output signals of the inverter are monitored. The entropy of the phase current and voltage is selected as the switch fault feature. Single and multiple short and open circuit switch faults are isolable with this method. 2013-10-10T08:36:30Z 2019-12-06T21:00:30Z 2013-10-10T08:36:30Z 2019-12-06T21:00:30Z 2012 2012 Conference Paper Alavi, M., Luo, M., Wang, D., & Bai, H. (2012). IGBT fault detection for three phase motor drives using neural networks. 2012 IEEE 17th Conference on Emerging Technologies & Factory Automation (ETFA), pp.1-8. https://hdl.handle.net/10356/102805 http://hdl.handle.net/10220/16439 10.1109/ETFA.2012.6489593 en © 2012 IEEE
spellingShingle DRNTU::Engineering::Electrical and electronic engineering
Alavi, Marjan
Luo, Ming
Wang, Danwei
Bai, Haonan
IGBT fault detection for three phase motor drives using neural networks
title IGBT fault detection for three phase motor drives using neural networks
title_full IGBT fault detection for three phase motor drives using neural networks
title_fullStr IGBT fault detection for three phase motor drives using neural networks
title_full_unstemmed IGBT fault detection for three phase motor drives using neural networks
title_short IGBT fault detection for three phase motor drives using neural networks
title_sort igbt fault detection for three phase motor drives using neural networks
topic DRNTU::Engineering::Electrical and electronic engineering
url https://hdl.handle.net/10356/102805
http://hdl.handle.net/10220/16439
work_keys_str_mv AT alavimarjan igbtfaultdetectionforthreephasemotordrivesusingneuralnetworks
AT luoming igbtfaultdetectionforthreephasemotordrivesusingneuralnetworks
AT wangdanwei igbtfaultdetectionforthreephasemotordrivesusingneuralnetworks
AT baihaonan igbtfaultdetectionforthreephasemotordrivesusingneuralnetworks