{"title":"感应电机:一种新的、基于模型的非侵入式故障检测与诊断技术","authors":"S. Padmakumar, K. Roy, V. Agarwal","doi":"10.1109/ICPST.2008.4745282","DOIUrl":null,"url":null,"abstract":"Model based fault detection and diagnosis in induction motor is gaining importance as it can take care of model and measurement uncertainties with the help of variants of Kalman Filters. A study of such a methodology and the potential to apply the same online is discussed. Mainly soft faults are considered for this work and MATLAB simulation results are presented. The data generation, filter convergence issues, hypothesis testing, generalized likelihood estimates etc. are addressed. A SIMLINK model is used for data generation and various types of faults are introduced. An extended Kalman filter using MATLAB is run to detect the changes.","PeriodicalId":107016,"journal":{"name":"2008 Joint International Conference on Power System Technology and IEEE Power India Conference","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2008-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"8","resultStr":"{\"title\":\"Induction Machines: A Novel, Model based Non-invasive Fault Detection and Diagnosis Technique\",\"authors\":\"S. Padmakumar, K. Roy, V. Agarwal\",\"doi\":\"10.1109/ICPST.2008.4745282\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Model based fault detection and diagnosis in induction motor is gaining importance as it can take care of model and measurement uncertainties with the help of variants of Kalman Filters. A study of such a methodology and the potential to apply the same online is discussed. Mainly soft faults are considered for this work and MATLAB simulation results are presented. The data generation, filter convergence issues, hypothesis testing, generalized likelihood estimates etc. are addressed. A SIMLINK model is used for data generation and various types of faults are introduced. An extended Kalman filter using MATLAB is run to detect the changes.\",\"PeriodicalId\":107016,\"journal\":{\"name\":\"2008 Joint International Conference on Power System Technology and IEEE Power India Conference\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2008-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"8\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2008 Joint International Conference on Power System Technology and IEEE Power India Conference\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICPST.2008.4745282\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2008 Joint International Conference on Power System Technology and IEEE Power India Conference","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICPST.2008.4745282","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Induction Machines: A Novel, Model based Non-invasive Fault Detection and Diagnosis Technique
Model based fault detection and diagnosis in induction motor is gaining importance as it can take care of model and measurement uncertainties with the help of variants of Kalman Filters. A study of such a methodology and the potential to apply the same online is discussed. Mainly soft faults are considered for this work and MATLAB simulation results are presented. The data generation, filter convergence issues, hypothesis testing, generalized likelihood estimates etc. are addressed. A SIMLINK model is used for data generation and various types of faults are introduced. An extended Kalman filter using MATLAB is run to detect the changes.