{"title":"感应电动机在线故障诊断研究进展","authors":"Zhongming Ye, Wu Bin","doi":"10.1109/IPEMC.2000.883050","DOIUrl":null,"url":null,"abstract":"Induction motor faults including mechanical and insulation faults are reviewed. The static current signatures of mechanical faults are summarized. The various applicable feature extraction methods for induction motor fault diagnosis are introduced. Application of artificial intelligence, including artificial neural networks, fuzzy logic and expert systems are reviewed. Recent achievements on the diagnosis of inverter-fed induction motor drive systems are reviewed.","PeriodicalId":373820,"journal":{"name":"Proceedings IPEMC 2000. Third International Power Electronics and Motion Control Conference (IEEE Cat. No.00EX435)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2000-08-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"140","resultStr":"{\"title\":\"A review on induction motor online fault diagnosis\",\"authors\":\"Zhongming Ye, Wu Bin\",\"doi\":\"10.1109/IPEMC.2000.883050\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Induction motor faults including mechanical and insulation faults are reviewed. The static current signatures of mechanical faults are summarized. The various applicable feature extraction methods for induction motor fault diagnosis are introduced. Application of artificial intelligence, including artificial neural networks, fuzzy logic and expert systems are reviewed. Recent achievements on the diagnosis of inverter-fed induction motor drive systems are reviewed.\",\"PeriodicalId\":373820,\"journal\":{\"name\":\"Proceedings IPEMC 2000. Third International Power Electronics and Motion Control Conference (IEEE Cat. No.00EX435)\",\"volume\":\"24 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2000-08-15\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"140\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings IPEMC 2000. Third International Power Electronics and Motion Control Conference (IEEE Cat. No.00EX435)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IPEMC.2000.883050\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings IPEMC 2000. Third International Power Electronics and Motion Control Conference (IEEE Cat. No.00EX435)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IPEMC.2000.883050","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A review on induction motor online fault diagnosis
Induction motor faults including mechanical and insulation faults are reviewed. The static current signatures of mechanical faults are summarized. The various applicable feature extraction methods for induction motor fault diagnosis are introduced. Application of artificial intelligence, including artificial neural networks, fuzzy logic and expert systems are reviewed. Recent achievements on the diagnosis of inverter-fed induction motor drive systems are reviewed.