Wavelet Transform Based Fault Identification and Reconfiguration for a Reduced Switch Multilevel Inverter Fed Induction Motor Drive

The multilevel inverter-based drive system is greatly affected by several faults occurring on switching elements. A faulty switch in the inverter can potentially lead to more losses, extensive downtime and reduced reliability. In this paper, a novel fault identification and reconfiguration process i...

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Main Authors: Veerendra, A. S., A. A., Shah, Mohd Rusllim, Mohamed, Sekhar, Chavali Punya, Puiki, Leung
Format: Article
Language:English
Published: MDPI 2021
Subjects:
Online Access:http://umpir.ump.edu.my/id/eprint/31438/1/Wavelet%20Transform%20Based%20Fault%20Identification.pdf
http://umpir.ump.edu.my/id/eprint/31438/
https://doi.org/10.3390/electronics10091023
https://doi.org/10.3390/electronics10091023
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spelling my.ump.umpir.314382021-05-19T06:19:18Z http://umpir.ump.edu.my/id/eprint/31438/ Wavelet Transform Based Fault Identification and Reconfiguration for a Reduced Switch Multilevel Inverter Fed Induction Motor Drive Veerendra, A. S. A. A., Shah Mohd Rusllim, Mohamed Sekhar, Chavali Punya Puiki, Leung TK Electrical engineering. Electronics Nuclear engineering The multilevel inverter-based drive system is greatly affected by several faults occurring on switching elements. A faulty switch in the inverter can potentially lead to more losses, extensive downtime and reduced reliability. In this paper, a novel fault identification and reconfiguration process is proposed by using discrete wavelet transform and auxiliary switching cells. Here, the discrete wavelet transform exploits a multiresolution analysis with a feature extraction methodology for fault identification and subsequently for reconfiguration. For increasing the reliability, auxiliary switching cells are integrated to replace faulty cells in a proposed reduced-switch 5-level multilevel inverter topology. The novel reconfiguration scheme compensates open circuit and short circuit faults. The complexity of the proposed system is lower relative to existing methods. This proposed technique effectively identifies and classifies faults using the multiresolution analysis. Furthermore, the measured current and voltage values during fault reconfiguration are close to those under healthy conditions. The performance is verified using the MATLAB/Simulink platform and a hardware model. MDPI 2021 Article PeerReviewed pdf en cc_by_4 http://umpir.ump.edu.my/id/eprint/31438/1/Wavelet%20Transform%20Based%20Fault%20Identification.pdf Veerendra, A. S. and A. A., Shah and Mohd Rusllim, Mohamed and Sekhar, Chavali Punya and Puiki, Leung (2021) Wavelet Transform Based Fault Identification and Reconfiguration for a Reduced Switch Multilevel Inverter Fed Induction Motor Drive. Electronics, 10 (9). pp. 1-17. ISSN 2079-9292 https://doi.org/10.3390/electronics10091023 https://doi.org/10.3390/electronics10091023
institution Universiti Malaysia Pahang
building UMP Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Pahang
content_source UMP Institutional Repository
url_provider http://umpir.ump.edu.my/
language English
topic TK Electrical engineering. Electronics Nuclear engineering
spellingShingle TK Electrical engineering. Electronics Nuclear engineering
Veerendra, A. S.
A. A., Shah
Mohd Rusllim, Mohamed
Sekhar, Chavali Punya
Puiki, Leung
Wavelet Transform Based Fault Identification and Reconfiguration for a Reduced Switch Multilevel Inverter Fed Induction Motor Drive
description The multilevel inverter-based drive system is greatly affected by several faults occurring on switching elements. A faulty switch in the inverter can potentially lead to more losses, extensive downtime and reduced reliability. In this paper, a novel fault identification and reconfiguration process is proposed by using discrete wavelet transform and auxiliary switching cells. Here, the discrete wavelet transform exploits a multiresolution analysis with a feature extraction methodology for fault identification and subsequently for reconfiguration. For increasing the reliability, auxiliary switching cells are integrated to replace faulty cells in a proposed reduced-switch 5-level multilevel inverter topology. The novel reconfiguration scheme compensates open circuit and short circuit faults. The complexity of the proposed system is lower relative to existing methods. This proposed technique effectively identifies and classifies faults using the multiresolution analysis. Furthermore, the measured current and voltage values during fault reconfiguration are close to those under healthy conditions. The performance is verified using the MATLAB/Simulink platform and a hardware model.
format Article
author Veerendra, A. S.
A. A., Shah
Mohd Rusllim, Mohamed
Sekhar, Chavali Punya
Puiki, Leung
author_facet Veerendra, A. S.
A. A., Shah
Mohd Rusllim, Mohamed
Sekhar, Chavali Punya
Puiki, Leung
author_sort Veerendra, A. S.
title Wavelet Transform Based Fault Identification and Reconfiguration for a Reduced Switch Multilevel Inverter Fed Induction Motor Drive
title_short Wavelet Transform Based Fault Identification and Reconfiguration for a Reduced Switch Multilevel Inverter Fed Induction Motor Drive
title_full Wavelet Transform Based Fault Identification and Reconfiguration for a Reduced Switch Multilevel Inverter Fed Induction Motor Drive
title_fullStr Wavelet Transform Based Fault Identification and Reconfiguration for a Reduced Switch Multilevel Inverter Fed Induction Motor Drive
title_full_unstemmed Wavelet Transform Based Fault Identification and Reconfiguration for a Reduced Switch Multilevel Inverter Fed Induction Motor Drive
title_sort wavelet transform based fault identification and reconfiguration for a reduced switch multilevel inverter fed induction motor drive
publisher MDPI
publishDate 2021
url http://umpir.ump.edu.my/id/eprint/31438/1/Wavelet%20Transform%20Based%20Fault%20Identification.pdf
http://umpir.ump.edu.my/id/eprint/31438/
https://doi.org/10.3390/electronics10091023
https://doi.org/10.3390/electronics10091023
_version_ 1701163153576951808
score 13.211869