{"title":"基于能量的异步电动机故障诊断方法","authors":"H. Behzad, M. Sadrnia, A. Darabi, A. Ramezani","doi":"10.1109/ICCIAUTOM.2017.8258655","DOIUrl":null,"url":null,"abstract":"In this paper an energetic based approach is presented for a class of Linear Parameter Varying (LPV) systems subject to sensor and component faults. The main purpose of this research is to estimate the stator winding faults of an electrical induction motor. To this end, a quasi-LPV model is derived, on the basis of the nonlinear model of induction motor. Then, an algebraic technique is addressed to derive a regressor description of the system energy balance, where the regressor coefficients are stator winding fault. This formulation provides the possibility of using the Least Square(LS) technique to component fault estimation. The effectiveness of the proposed method is illustrated in a final numerical example.","PeriodicalId":197207,"journal":{"name":"2017 5th International Conference on Control, Instrumentation, and Automation (ICCIA)","volume":"547 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"A fault diagnosis approach for electrical induction motors via energetic based scheme\",\"authors\":\"H. Behzad, M. Sadrnia, A. Darabi, A. Ramezani\",\"doi\":\"10.1109/ICCIAUTOM.2017.8258655\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper an energetic based approach is presented for a class of Linear Parameter Varying (LPV) systems subject to sensor and component faults. The main purpose of this research is to estimate the stator winding faults of an electrical induction motor. To this end, a quasi-LPV model is derived, on the basis of the nonlinear model of induction motor. Then, an algebraic technique is addressed to derive a regressor description of the system energy balance, where the regressor coefficients are stator winding fault. This formulation provides the possibility of using the Least Square(LS) technique to component fault estimation. The effectiveness of the proposed method is illustrated in a final numerical example.\",\"PeriodicalId\":197207,\"journal\":{\"name\":\"2017 5th International Conference on Control, Instrumentation, and Automation (ICCIA)\",\"volume\":\"547 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-11-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2017 5th International Conference on Control, Instrumentation, and Automation (ICCIA)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICCIAUTOM.2017.8258655\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 5th International Conference on Control, Instrumentation, and Automation (ICCIA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCIAUTOM.2017.8258655","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A fault diagnosis approach for electrical induction motors via energetic based scheme
In this paper an energetic based approach is presented for a class of Linear Parameter Varying (LPV) systems subject to sensor and component faults. The main purpose of this research is to estimate the stator winding faults of an electrical induction motor. To this end, a quasi-LPV model is derived, on the basis of the nonlinear model of induction motor. Then, an algebraic technique is addressed to derive a regressor description of the system energy balance, where the regressor coefficients are stator winding fault. This formulation provides the possibility of using the Least Square(LS) technique to component fault estimation. The effectiveness of the proposed method is illustrated in a final numerical example.