Voltage Source Inverter Switches Faults Classification And Identification Using Time-Frequency Distributions

Three-phase voltage source inverters (VSI) are utilized in a variety of industry applications.Although this technology has already achieved a certain level of maturity,due to their complexity and considering,three-phase VSI are often exposed to high stresses and unexpected faults may occur.Different...

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Main Author:	Ahmad, Nur Sumayyah
Format:	Thesis
Language:	English English
Published:	2016
Subjects:	T Technology (General)
Online Access:	http://eprints.utem.edu.my/id/eprint/23311/1/Voltage%20Source%20Inverter%20Switches%20Faults%20Classification%20And%20Identification%20Using%20Time-Frequency%20Distributions.pdf http://eprints.utem.edu.my/id/eprint/23311/2/Voltage%20Source%20Inverter%20Switches%20Faults%20Classification%20And%20Identification%20Using%20Time-Frequency%20Distributions.pdf
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id	my-utem-ep.23311
record_format	uketd_dc
institution	Universiti Teknikal Malaysia Melaka
collection	UTeM Repository
language	English English
advisor	Abdullah, Abdul Rahim
topic	T Technology (General) T Technology (General)
spellingShingle	T Technology (General) T Technology (General) Ahmad, Nur Sumayyah Voltage Source Inverter Switches Faults Classification And Identification Using Time-Frequency Distributions
description	Three-phase voltage source inverters (VSI) are utilized in a variety of industry applications.Although this technology has already achieved a certain level of maturity,due to their complexity and considering,three-phase VSI are often exposed to high stresses and unexpected faults may occur.Different types of faults occur in three-phase VSI such as open circuit,short circuit and gate misfiring that can influence reliability of entire system and disturb the performance.Hence, detection and classification of the three-phase VSI switches faults important for rectify failures and ensure the quality of power electronics system.This research presents the analysis of time-frequency distributions (TFDs) for three-phase VSI switches faults.The TFDs used are linear TFDs which are short time Fourier transform (STFT) and S-transform and bilinear TFD focusing on smooth-windowed Wigner-Ville distribution (SWWVD).The resulting time-frequency representations (TFRs) represent signals in the jointly time-frequency domains while the parameters of the signals are then estimated from the TFR.The signal parameters are instantaneous of root mean square (RMS) current,RMS fundamental current,average current,total waveform distortion (TWD),total harmonic distortion (THD) and total nonharmonic distortion (TnHD).From the signal parameters,the characteristics of the faults signals are calculated and are then used as input to a rule-based classifier to identify and classify the switches faults.The presented analysis is achieved by analyzing three-phase VSI for open and short circuit switches faults.In addition,based on the signal characteristics measurement,the best TFD is identified in terms accuracy,memory size and computation complexity used.Besides that,an experimental test also conducted to capture the real data for three-phase VSI switches fault using TFDs is reported to highligt the strength and weakness of each technique.Then,the best and effective technique for fault are discussed.The result shows that SWWVD is the best TFD technique for three-phase VSI switches faults detection and classification.
format	Thesis
qualification_name	Master of Philosophy (M.Phil.)
qualification_level	Master's degree
author	Ahmad, Nur Sumayyah
author_facet	Ahmad, Nur Sumayyah
author_sort	Ahmad, Nur Sumayyah
title	Voltage Source Inverter Switches Faults Classification And Identification Using Time-Frequency Distributions
title_short	Voltage Source Inverter Switches Faults Classification And Identification Using Time-Frequency Distributions
title_full	Voltage Source Inverter Switches Faults Classification And Identification Using Time-Frequency Distributions
title_fullStr	Voltage Source Inverter Switches Faults Classification And Identification Using Time-Frequency Distributions
title_full_unstemmed	Voltage Source Inverter Switches Faults Classification And Identification Using Time-Frequency Distributions
title_sort	voltage source inverter switches faults classification and identification using time-frequency distributions
granting_institution	Universiti Teknikal Malaysia Melaka
granting_department	Faculty Of Electrical Engineering
publishDate	2016
url	http://eprints.utem.edu.my/id/eprint/23311/1/Voltage%20Source%20Inverter%20Switches%20Faults%20Classification%20And%20Identification%20Using%20Time-Frequency%20Distributions.pdf http://eprints.utem.edu.my/id/eprint/23311/2/Voltage%20Source%20Inverter%20Switches%20Faults%20Classification%20And%20Identification%20Using%20Time-Frequency%20Distributions.pdf
_version_	1747834033078796288
spelling	my-utem-ep.233112021-10-08T17:11:03Z Voltage Source Inverter Switches Faults Classification And Identification Using Time-Frequency Distributions 2016 Ahmad, Nur Sumayyah T Technology (General) TK Electrical engineering. Electronics Nuclear engineering Three-phase voltage source inverters (VSI) are utilized in a variety of industry applications.Although this technology has already achieved a certain level of maturity,due to their complexity and considering,three-phase VSI are often exposed to high stresses and unexpected faults may occur.Different types of faults occur in three-phase VSI such as open circuit,short circuit and gate misfiring that can influence reliability of entire system and disturb the performance.Hence, detection and classification of the three-phase VSI switches faults important for rectify failures and ensure the quality of power electronics system.This research presents the analysis of time-frequency distributions (TFDs) for three-phase VSI switches faults.The TFDs used are linear TFDs which are short time Fourier transform (STFT) and S-transform and bilinear TFD focusing on smooth-windowed Wigner-Ville distribution (SWWVD).The resulting time-frequency representations (TFRs) represent signals in the jointly time-frequency domains while the parameters of the signals are then estimated from the TFR.The signal parameters are instantaneous of root mean square (RMS) current,RMS fundamental current,average current,total waveform distortion (TWD),total harmonic distortion (THD) and total nonharmonic distortion (TnHD).From the signal parameters,the characteristics of the faults signals are calculated and are then used as input to a rule-based classifier to identify and classify the switches faults.The presented analysis is achieved by analyzing three-phase VSI for open and short circuit switches faults.In addition,based on the signal characteristics measurement,the best TFD is identified in terms accuracy,memory size and computation complexity used.Besides that,an experimental test also conducted to capture the real data for three-phase VSI switches fault using TFDs is reported to highligt the strength and weakness of each technique.Then,the best and effective technique for fault are discussed.The result shows that SWWVD is the best TFD technique for three-phase VSI switches faults detection and classification. 2016 Thesis http://eprints.utem.edu.my/id/eprint/23311/ http://eprints.utem.edu.my/id/eprint/23311/1/Voltage%20Source%20Inverter%20Switches%20Faults%20Classification%20And%20Identification%20Using%20Time-Frequency%20Distributions.pdf text en public http://eprints.utem.edu.my/id/eprint/23311/2/Voltage%20Source%20Inverter%20Switches%20Faults%20Classification%20And%20Identification%20Using%20Time-Frequency%20Distributions.pdf text en validuser https://plh.utem.edu.my/cgi-bin/koha/opac-detail.pl?biblionumber=112185 mphil masters Universiti Teknikal Malaysia Melaka Faculty Of Electrical Engineering Abdullah, Abdul Rahim 1. 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Voltage Source Inverter Switches Faults Classification And Identification Using Time-Frequency Distributions

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