Application of Spectral and Wavelet Analysis of Stator Current to Detect Angular Misalignment in PMSM Drive Systems

This paper deals with the selected methods of detecting angular misalignment in drive systems with a permanent magnet synchronous motor (PMSM), which are based on the analysis of the stator phase current signal, as well as their experimental verification and comparison. The proposed and compared met...

Descripción completa

Guardado en:

Detalles Bibliográficos
Autores principales:	Pietrzak Przemysław, Wolkiewicz Marcin
Formato:	article
Lenguaje:	EN
Publicado:	Sciendo 2021
Materias:	fault diagnosis permanent magnet synchronous motor angular misalignment fast fourier transform discrete wavelet transform Electronics TK7800-8360
Acceso en línea:	https://doaj.org/article/61ade429408d477f9f94b76cb47e695a
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

id	oai:doaj.org-article:61ade429408d477f9f94b76cb47e695a
record_format	dspace
spelling	oai:doaj.org-article:61ade429408d477f9f94b76cb47e695a2021-12-05T14:11:09ZApplication of Spectral and Wavelet Analysis of Stator Current to Detect Angular Misalignment in PMSM Drive Systems2543-429210.2478/pead-2021-0004https://doaj.org/article/61ade429408d477f9f94b76cb47e695a2021-01-01T00:00:00Zhttps://doi.org/10.2478/pead-2021-0004https://doaj.org/toc/2543-4292This paper deals with the selected methods of detecting angular misalignment in drive systems with a permanent magnet synchronous motor (PMSM), which are based on the analysis of the stator phase current signal, as well as their experimental verification and comparison. The proposed and compared methods are spectral analysis and wavelet analysis of the stator current, stator current envelope, stator current space vector module. Furthermore, the influence of power supply frequency and load torque on the performance of the proposed diagnostic methods is also discussed. The experimental tests were carried out for an undamaged motor and for two levels of angular misalignment. The article discusses the question of exactly what damage symptoms can be extracted from each of the methods. In the case of spectral analyses, it is demonstrated which multiplicities of the failure frequency are the most sensitive to misalignment and the least sensitive to changes in motor operating condition, which may be considered novel in the case of drive systems with permanent magnet motors. It is also proven that discrete wavelet transform (DWT) of the envelope and monitoring of the value of the relevant components allows the detection of misalignment with the availability of measuring current only in one phase in various motor operating conditions.Pietrzak PrzemysławWolkiewicz MarcinSciendoarticlefault diagnosispermanent magnet synchronous motorangular misalignmentfast fourier transformdiscrete wavelet transformElectronicsTK7800-8360ENPower Electronics and Drives, Vol 6, Iss 1, Pp 42-60 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	fault diagnosis permanent magnet synchronous motor angular misalignment fast fourier transform discrete wavelet transform Electronics TK7800-8360
spellingShingle	fault diagnosis permanent magnet synchronous motor angular misalignment fast fourier transform discrete wavelet transform Electronics TK7800-8360 Pietrzak Przemysław Wolkiewicz Marcin Application of Spectral and Wavelet Analysis of Stator Current to Detect Angular Misalignment in PMSM Drive Systems
description	This paper deals with the selected methods of detecting angular misalignment in drive systems with a permanent magnet synchronous motor (PMSM), which are based on the analysis of the stator phase current signal, as well as their experimental verification and comparison. The proposed and compared methods are spectral analysis and wavelet analysis of the stator current, stator current envelope, stator current space vector module. Furthermore, the influence of power supply frequency and load torque on the performance of the proposed diagnostic methods is also discussed. The experimental tests were carried out for an undamaged motor and for two levels of angular misalignment. The article discusses the question of exactly what damage symptoms can be extracted from each of the methods. In the case of spectral analyses, it is demonstrated which multiplicities of the failure frequency are the most sensitive to misalignment and the least sensitive to changes in motor operating condition, which may be considered novel in the case of drive systems with permanent magnet motors. It is also proven that discrete wavelet transform (DWT) of the envelope and monitoring of the value of the relevant components allows the detection of misalignment with the availability of measuring current only in one phase in various motor operating conditions.
format	article
author	Pietrzak Przemysław Wolkiewicz Marcin
author_facet	Pietrzak Przemysław Wolkiewicz Marcin
author_sort	Pietrzak Przemysław
title	Application of Spectral and Wavelet Analysis of Stator Current to Detect Angular Misalignment in PMSM Drive Systems
title_short	Application of Spectral and Wavelet Analysis of Stator Current to Detect Angular Misalignment in PMSM Drive Systems
title_full	Application of Spectral and Wavelet Analysis of Stator Current to Detect Angular Misalignment in PMSM Drive Systems
title_fullStr	Application of Spectral and Wavelet Analysis of Stator Current to Detect Angular Misalignment in PMSM Drive Systems
title_full_unstemmed	Application of Spectral and Wavelet Analysis of Stator Current to Detect Angular Misalignment in PMSM Drive Systems
title_sort	application of spectral and wavelet analysis of stator current to detect angular misalignment in pmsm drive systems
publisher	Sciendo
publishDate	2021
url	https://doaj.org/article/61ade429408d477f9f94b76cb47e695a
work_keys_str_mv	AT pietrzakprzemysław applicationofspectralandwaveletanalysisofstatorcurrenttodetectangularmisalignmentinpmsmdrivesystems AT wolkiewiczmarcin applicationofspectralandwaveletanalysisofstatorcurrenttodetectangularmisalignmentinpmsmdrivesystems
_version_	1718371359868846080

Application of Spectral and Wavelet Analysis of Stator Current to Detect Angular Misalignment in PMSM Drive Systems

Ejemplares similares