Azzouz Mokhnache, S. Femmam, Mohamed Benouaret, Raouf Mokhnache
{"title":"Asynchronous Motor Fault Detection Based on Non-Parametric Estimation Algorithm","authors":"Azzouz Mokhnache, S. Femmam, Mohamed Benouaret, Raouf Mokhnache","doi":"10.1145/3584748.3584749","DOIUrl":null,"url":null,"abstract":"The main objective of this study is to suggest a suitable and coherent approach allowing the early fault detection occurring in the induction machine and conveyed by the stator current as a revealing signal of relevant information. In this context, the paradigm involving the concept of FFT tool combined with the adopted technique, intended to be able to judiciously describe the spectral behavior of the signal from the stator current via an appropriate sensor. For this reason, the proposed approach is dedicated to deducing from the spectral behavior of the motor which suffers from several deficiencies, the parameter pattern which could be notified by the faults presence and therefore avoiding any kind of undesirable repercussions on the process involving this type of engine.","PeriodicalId":241758,"journal":{"name":"Proceedings of the 2022 5th International Conference on E-Business, Information Management and Computer Science","volume":"13 Suppl 3 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-12-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 2022 5th International Conference on E-Business, Information Management and Computer Science","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3584748.3584749","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
The main objective of this study is to suggest a suitable and coherent approach allowing the early fault detection occurring in the induction machine and conveyed by the stator current as a revealing signal of relevant information. In this context, the paradigm involving the concept of FFT tool combined with the adopted technique, intended to be able to judiciously describe the spectral behavior of the signal from the stator current via an appropriate sensor. For this reason, the proposed approach is dedicated to deducing from the spectral behavior of the motor which suffers from several deficiencies, the parameter pattern which could be notified by the faults presence and therefore avoiding any kind of undesirable repercussions on the process involving this type of engine.