Fuzzy Fault Detection for Permanent Magnet Synchronous Motor

In the transition to automated and automatic manufacturing an urgent problem is to increase the reliability of mobile robots (MR) and their drives, creation of devices to monitor the technical characteristics of MR, diagnose and predict the remaining resource. Inspite of the high relevance of the di...

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Autor principal:	Romanov Alexander
Formato:	article
Lenguaje:	EN FR
Publicado:	EDP Sciences 2021
Materias:	Engineering (General). Civil engineering (General) TA1-2040
Acceso en línea:	https://doaj.org/article/6a525f31431146bb9ca6cdc5535e2d92
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id	oai:doaj.org-article:6a525f31431146bb9ca6cdc5535e2d92
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spelling	oai:doaj.org-article:6a525f31431146bb9ca6cdc5535e2d922021-11-08T15:20:44ZFuzzy Fault Detection for Permanent Magnet Synchronous Motor2261-236X10.1051/matecconf/202134603067https://doaj.org/article/6a525f31431146bb9ca6cdc5535e2d922021-01-01T00:00:00Zhttps://www.matec-conferences.org/articles/matecconf/pdf/2021/15/matecconf_icmtmte2021_03067.pdfhttps://doaj.org/toc/2261-236XIn the transition to automated and automatic manufacturing an urgent problem is to increase the reliability of mobile robots (MR) and their drives, creation of devices to monitor the technical characteristics of MR, diagnose and predict the remaining resource. Inspite of the high relevance of the diagnosing MR drives problem, there are no generally accepted methodology for diagnosing MR drives, criteria for selecting methods, parameters and volumes of diagnostics at present. An unsolved problem, related to the diagnosis of MR drives and the prediction of their residual life remains, is the development of methods that allow to carry out of automatic complex multiparametric diagnostics and prediction of the residual life using artificial intelligence methods. Effective fault detection and diagnosis can improve the reliability of the MR drive and avoid costly maintenance. In this paper a fault detection scheme for synchronous motors with permanent magnets based on a fuzzy system is proposed. The sequence current components (positive and negative sequence currents) are used as fault indicators and are set as input to the fuzzy fault detector. The expediency of the proposed scheme for determining of various types of faults for a synchronous motor with permanent magnets under various operating conditions is simulated using the SimInTech software.Romanov AlexanderEDP SciencesarticleEngineering (General). Civil engineering (General)TA1-2040ENFRMATEC Web of Conferences, Vol 346, p 03067 (2021)
institution	DOAJ
collection	DOAJ
language	EN FR
topic	Engineering (General). Civil engineering (General) TA1-2040
spellingShingle	Engineering (General). Civil engineering (General) TA1-2040 Romanov Alexander Fuzzy Fault Detection for Permanent Magnet Synchronous Motor
description	In the transition to automated and automatic manufacturing an urgent problem is to increase the reliability of mobile robots (MR) and their drives, creation of devices to monitor the technical characteristics of MR, diagnose and predict the remaining resource. Inspite of the high relevance of the diagnosing MR drives problem, there are no generally accepted methodology for diagnosing MR drives, criteria for selecting methods, parameters and volumes of diagnostics at present. An unsolved problem, related to the diagnosis of MR drives and the prediction of their residual life remains, is the development of methods that allow to carry out of automatic complex multiparametric diagnostics and prediction of the residual life using artificial intelligence methods. Effective fault detection and diagnosis can improve the reliability of the MR drive and avoid costly maintenance. In this paper a fault detection scheme for synchronous motors with permanent magnets based on a fuzzy system is proposed. The sequence current components (positive and negative sequence currents) are used as fault indicators and are set as input to the fuzzy fault detector. The expediency of the proposed scheme for determining of various types of faults for a synchronous motor with permanent magnets under various operating conditions is simulated using the SimInTech software.
format	article
author	Romanov Alexander
author_facet	Romanov Alexander
author_sort	Romanov Alexander
title	Fuzzy Fault Detection for Permanent Magnet Synchronous Motor
title_short	Fuzzy Fault Detection for Permanent Magnet Synchronous Motor
title_full	Fuzzy Fault Detection for Permanent Magnet Synchronous Motor
title_fullStr	Fuzzy Fault Detection for Permanent Magnet Synchronous Motor
title_full_unstemmed	Fuzzy Fault Detection for Permanent Magnet Synchronous Motor
title_sort	fuzzy fault detection for permanent magnet synchronous motor
publisher	EDP Sciences
publishDate	2021
url	https://doaj.org/article/6a525f31431146bb9ca6cdc5535e2d92
work_keys_str_mv	AT romanovalexander fuzzyfaultdetectionforpermanentmagnetsynchronousmotor
_version_	1718441757612441600

Fuzzy Fault Detection for Permanent Magnet Synchronous Motor

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