APPLICATIONS OF WAVELETS IN INDUCTION MACHINE FAULT DETECTION

This paper presents a new wavelet-based algorithm for three-phase induction machine fault detection. This new method uses the standard deviation of wavelet coefficients, obtained from n-level decomposition of each phase voltage and current, to identify single-phasing faults or unbalanced stator resi...

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Autores principales:	Schmitt,Erick, Idowu,Peter, Morales,Aldo
Lenguaje:	English
Publicado:	Universidad de Tarapacá. 2010
Materias:	Wavelets fault detection induction machines fast Fourier transform early detection
Acceso en línea:	http://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0718-33052010000200002
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spelling	oai:scielo:S0718-330520100002000022010-10-22APPLICATIONS OF WAVELETS IN INDUCTION MACHINE FAULT DETECTIONSchmitt,ErickIdowu,PeterMorales,Aldo Wavelets fault detection induction machines fast Fourier transform early detection This paper presents a new wavelet-based algorithm for three-phase induction machine fault detection. This new method uses the standard deviation of wavelet coefficients, obtained from n-level decomposition of each phase voltage and current, to identify single-phasing faults or unbalanced stator resistance faults in induction machines. The proposed algorithm can operate independent of the operational frequency, fault type and loading conditions. Results show that this algorithm has better detection response than the Fourier transform-based techniques.info:eu-repo/semantics/openAccessUniversidad de Tarapacá.Ingeniare. Revista chilena de ingeniería v.18 n.2 20102010-08-01text/htmlhttp://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0718-33052010000200002en10.4067/S0718-33052010000200002
institution	Scielo Chile
collection	Scielo Chile
language	English
topic	Wavelets fault detection induction machines fast Fourier transform early detection
spellingShingle	Wavelets fault detection induction machines fast Fourier transform early detection Schmitt,Erick Idowu,Peter Morales,Aldo APPLICATIONS OF WAVELETS IN INDUCTION MACHINE FAULT DETECTION
description	This paper presents a new wavelet-based algorithm for three-phase induction machine fault detection. This new method uses the standard deviation of wavelet coefficients, obtained from n-level decomposition of each phase voltage and current, to identify single-phasing faults or unbalanced stator resistance faults in induction machines. The proposed algorithm can operate independent of the operational frequency, fault type and loading conditions. Results show that this algorithm has better detection response than the Fourier transform-based techniques.
author	Schmitt,Erick Idowu,Peter Morales,Aldo
author_facet	Schmitt,Erick Idowu,Peter Morales,Aldo
author_sort	Schmitt,Erick
title	APPLICATIONS OF WAVELETS IN INDUCTION MACHINE FAULT DETECTION
title_short	APPLICATIONS OF WAVELETS IN INDUCTION MACHINE FAULT DETECTION
title_full	APPLICATIONS OF WAVELETS IN INDUCTION MACHINE FAULT DETECTION
title_fullStr	APPLICATIONS OF WAVELETS IN INDUCTION MACHINE FAULT DETECTION
title_full_unstemmed	APPLICATIONS OF WAVELETS IN INDUCTION MACHINE FAULT DETECTION
title_sort	applications of wavelets in induction machine fault detection
publisher	Universidad de Tarapacá.
publishDate	2010
url	http://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0718-33052010000200002
work_keys_str_mv	AT schmitterick applicationsofwaveletsininductionmachinefaultdetection AT idowupeter applicationsofwaveletsininductionmachinefaultdetection AT moralesaldo applicationsofwaveletsininductionmachinefaultdetection
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APPLICATIONS OF WAVELETS IN INDUCTION MACHINE FAULT DETECTION

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