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Wavelet packet and fuzzy logic theory for automatic fault detection in induction motor
In this paper, a method based on the application of the fuzzy logic technique to diagnose the fault of broken rotor bars in an induction machine has been proposed. Through the decomposition into a wavelet packet, we can detect, identify and prognosis failures in all operating conditions of the machi...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Berlin Heidelberg
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8985753/ https://www.ncbi.nlm.nih.gov/pubmed/35411204 http://dx.doi.org/10.1007/s00500-022-07028-5 |
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author | Talhaoui, Hicham Ameid, Tarek Aissa, Oualid Kessal, Abdelhalim |
author_facet | Talhaoui, Hicham Ameid, Tarek Aissa, Oualid Kessal, Abdelhalim |
author_sort | Talhaoui, Hicham |
collection | PubMed |
description | In this paper, a method based on the application of the fuzzy logic technique to diagnose the fault of broken rotor bars in an induction machine has been proposed. Through the decomposition into a wavelet packet, we can detect, identify and prognosis failures in all operating conditions of the machine. The energy calculations for each level of decomposition are richer with the necessary information for fault diagnosis. The latter can be used as input to an intelligent diagnostic system based on fuzzy logic for the detection and classification of the broken bars faults. The advantage of this method is the use of a single current sensor. Indeed, we can detect online, the fault and the number of broken bars with a variable load. The obtained results are very satisfactory. Some results were verified by simulations under MATLAB/Simulink and validated experimentally via dSPACE 1104 card. |
format | Online Article Text |
id | pubmed-8985753 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Springer Berlin Heidelberg |
record_format | MEDLINE/PubMed |
spelling | pubmed-89857532022-04-07 Wavelet packet and fuzzy logic theory for automatic fault detection in induction motor Talhaoui, Hicham Ameid, Tarek Aissa, Oualid Kessal, Abdelhalim Soft comput Application of Soft Computing In this paper, a method based on the application of the fuzzy logic technique to diagnose the fault of broken rotor bars in an induction machine has been proposed. Through the decomposition into a wavelet packet, we can detect, identify and prognosis failures in all operating conditions of the machine. The energy calculations for each level of decomposition are richer with the necessary information for fault diagnosis. The latter can be used as input to an intelligent diagnostic system based on fuzzy logic for the detection and classification of the broken bars faults. The advantage of this method is the use of a single current sensor. Indeed, we can detect online, the fault and the number of broken bars with a variable load. The obtained results are very satisfactory. Some results were verified by simulations under MATLAB/Simulink and validated experimentally via dSPACE 1104 card. Springer Berlin Heidelberg 2022-04-06 2022 /pmc/articles/PMC8985753/ /pubmed/35411204 http://dx.doi.org/10.1007/s00500-022-07028-5 Text en © The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2022 This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic. |
spellingShingle | Application of Soft Computing Talhaoui, Hicham Ameid, Tarek Aissa, Oualid Kessal, Abdelhalim Wavelet packet and fuzzy logic theory for automatic fault detection in induction motor |
title | Wavelet packet and fuzzy logic theory for automatic fault detection in induction motor |
title_full | Wavelet packet and fuzzy logic theory for automatic fault detection in induction motor |
title_fullStr | Wavelet packet and fuzzy logic theory for automatic fault detection in induction motor |
title_full_unstemmed | Wavelet packet and fuzzy logic theory for automatic fault detection in induction motor |
title_short | Wavelet packet and fuzzy logic theory for automatic fault detection in induction motor |
title_sort | wavelet packet and fuzzy logic theory for automatic fault detection in induction motor |
topic | Application of Soft Computing |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8985753/ https://www.ncbi.nlm.nih.gov/pubmed/35411204 http://dx.doi.org/10.1007/s00500-022-07028-5 |
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