{"title":"模型预测感应电机在不同操作条件下的行为","authors":"A. Alshandoli","doi":"10.1109/ICEE.2007.4287286","DOIUrl":null,"url":null,"abstract":"This paper presents a simulation study to verify the capability of the instantaneous phase variation (IPV) for the detection of broken rotor bar faults in a squirrel cage induction motor. The three-phase squirrel cage motor model has been derived using a multi coupled circuits approach. The obtained results show that IPV has a good detection and diagnosis capabilities especially at full load conditions.","PeriodicalId":291800,"journal":{"name":"2007 International Conference on Electrical Engineering","volume":"23 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2007-04-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"8","resultStr":"{\"title\":\"Model-Predicted Induction Motor Behaviour under Different Operating Conditions\",\"authors\":\"A. Alshandoli\",\"doi\":\"10.1109/ICEE.2007.4287286\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper presents a simulation study to verify the capability of the instantaneous phase variation (IPV) for the detection of broken rotor bar faults in a squirrel cage induction motor. The three-phase squirrel cage motor model has been derived using a multi coupled circuits approach. The obtained results show that IPV has a good detection and diagnosis capabilities especially at full load conditions.\",\"PeriodicalId\":291800,\"journal\":{\"name\":\"2007 International Conference on Electrical Engineering\",\"volume\":\"23 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2007-04-11\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"8\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2007 International Conference on Electrical Engineering\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICEE.2007.4287286\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2007 International Conference on Electrical Engineering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICEE.2007.4287286","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Model-Predicted Induction Motor Behaviour under Different Operating Conditions
This paper presents a simulation study to verify the capability of the instantaneous phase variation (IPV) for the detection of broken rotor bar faults in a squirrel cage induction motor. The three-phase squirrel cage motor model has been derived using a multi coupled circuits approach. The obtained results show that IPV has a good detection and diagnosis capabilities especially at full load conditions.