A. Yazidi, H. Henao, G. Capolino, D. Casadei, F. Filippetti, C. Rossi
{"title":"Simulation of a doubly-fed induction machine for wind turbine generator fault analysis","authors":"A. Yazidi, H. Henao, G. Capolino, D. Casadei, F. Filippetti, C. Rossi","doi":"10.1109/DEMPED.2005.4662544","DOIUrl":null,"url":null,"abstract":"For modern large wind farms, it is more and more interesting to design an efficient diagnostics system oriented to wind turbine generators based on doubly-fed induction machine (DFIM). In this paper, a complete system will be analyzed by suitable simulations to deeply study fault influence and to identify the best diagnostic procedure to perform predictive maintenance. All the research efforts have been developed on different signature analysis (XSA) in order to detect or to predict electrical and mechanical faults in wound-rotor induction machines. They will be applied on wind turbine generators and their effectiveness will be studied.","PeriodicalId":230148,"journal":{"name":"2005 5th IEEE International Symposium on Diagnostics for Electric Machines, Power Electronics and Drives","volume":"9 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2005-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"36","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2005 5th IEEE International Symposium on Diagnostics for Electric Machines, Power Electronics and Drives","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/DEMPED.2005.4662544","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 36
Abstract
For modern large wind farms, it is more and more interesting to design an efficient diagnostics system oriented to wind turbine generators based on doubly-fed induction machine (DFIM). In this paper, a complete system will be analyzed by suitable simulations to deeply study fault influence and to identify the best diagnostic procedure to perform predictive maintenance. All the research efforts have been developed on different signature analysis (XSA) in order to detect or to predict electrical and mechanical faults in wound-rotor induction machines. They will be applied on wind turbine generators and their effectiveness will be studied.