{"title":"Early; diagnosis of stator inter-turn fault in inverter driven induction motor by wavelet transform","authors":"Khadim Moin Siddiqui, K. Sahay, V. K. Giri","doi":"10.1109/ICPEICES.2016.7853647","DOIUrl":null,"url":null,"abstract":"This paper deals with a wavelet transform based new scheme for the diagnosis of stator inter-turn fault in the inverter driven induction motor drives. The approximation and detailed signals of wavelet transform have been used for detection of stator fault with a proposed simulation model. In the simulation model; the stator inter-turn fault has been created and diagnosed by the time domain and time-frequency domain approaches in the transient condition. Therefore; early fault diagnosis of the motor is possible and averted the motor before reaching in the ruinous conditions. As a result; the industries may save large revenues and unexpected failure conditions. The obtained results clearly demonstrate that the developed diagnostic technique may reliably separate stator faulty conditions from the healthy condition.","PeriodicalId":305942,"journal":{"name":"2016 IEEE 1st International Conference on Power Electronics, Intelligent Control and Energy Systems (ICPEICES)","volume":"121 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-07-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"10","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 IEEE 1st International Conference on Power Electronics, Intelligent Control and Energy Systems (ICPEICES)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICPEICES.2016.7853647","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 10
Abstract
This paper deals with a wavelet transform based new scheme for the diagnosis of stator inter-turn fault in the inverter driven induction motor drives. The approximation and detailed signals of wavelet transform have been used for detection of stator fault with a proposed simulation model. In the simulation model; the stator inter-turn fault has been created and diagnosed by the time domain and time-frequency domain approaches in the transient condition. Therefore; early fault diagnosis of the motor is possible and averted the motor before reaching in the ruinous conditions. As a result; the industries may save large revenues and unexpected failure conditions. The obtained results clearly demonstrate that the developed diagnostic technique may reliably separate stator faulty conditions from the healthy condition.