Voltage source inverter switches faults analysis using s-transform

Manap, Mustafa and Abdullah, Abdul Rahim and Saharuddin, Nur Zawani and Abidullah, Noor Athira and Ahmad, Nur Sumayyah and Bahari, Norhazilina (2016) Voltage source inverter switches faults analysis using s-transform. International Journal Of Electronics And Electrical Engineering, 4 (2). pp. 157-161. ISSN 2301-380X

Text 2016 Journal Voltage Source Inverter Switches Faults Analysis using S-Transform.pdf - Published Version Download (1MB)

Abstract

Nowadays, voltage source inverter (VSI) is frequently used in power electronics system. This is due to its ability that can offer higher efficiency, high torque, simpler control system and improved power output. Thus, to ensure safety and reliability of a system, the development of appropriate fault detection technique for faults analysis is a must. This paper proposes S-transform which is time�frequency distribution (TFD) for analyzing VSI signal to detect and identify switches and types of faults. By using the TFD, the faults signal is translated into time-frequency representation (TFR) and then, parameters of the signal are estimated from the TFR. The signal parameters are such as instantaneous of rms current, rms fundamental current, average current, total waveform distortion (TWD), total harmonic distortion (THD) and total non-harmonic distortion (TnHD). Based on the signal parameters, the characteristics of the faults are calculated and used as input for faults detection and classification system. At the end of this research, the results show that the proposed TFD give better analysis for switches faults parameters estimation and suitable for detection and identification system. 

Item Type:	Article
Uncontrolled Keywords:	switches faults, S-transform, short time fourier transform, voltage source inverter
Subjects:	T Technology > T Technology (General) T Technology > TK Electrical engineering. Electronics Nuclear engineering
Divisions:	Faculty of Engineering Technology
Depositing User:	Muhammad Afiz Ahmad
Date Deposited:	31 Jul 2017 00:52
Last Modified:	05 Jul 2023 16:25
URI:	http://eprints.utem.edu.my/id/eprint/18788
Statistic Details:	View Download Statistic

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