E. Al Ahmar, V. Choqueuse, M. Benbouzid, Y. Amirat, J. El Assad, R. Karam, S. Farah
{"title":"风力发电机传动系统故障检测与诊断的先进信号处理技术:比较研究","authors":"E. Al Ahmar, V. Choqueuse, M. Benbouzid, Y. Amirat, J. El Assad, R. Karam, S. Farah","doi":"10.1109/ECCE.2010.5617707","DOIUrl":null,"url":null,"abstract":"This paper deals with the diagnosis of Wind Turbines based on generator current analysis. It provides a comparative study between traditional signal processing methods, such as periodograms, with more sophisticated approaches. Performances of these techniques are assessed through simulation experiments and compared for several types of fault, including air-gap eccentricities, broken rotor bars and bearing damages.","PeriodicalId":161915,"journal":{"name":"2010 IEEE Energy Conversion Congress and Exposition","volume":"78 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"45","resultStr":"{\"title\":\"Advanced signal processing techniques for fault detection and diagnosis in a wind turbine induction generator drive train: A comparative study\",\"authors\":\"E. Al Ahmar, V. Choqueuse, M. Benbouzid, Y. Amirat, J. El Assad, R. Karam, S. Farah\",\"doi\":\"10.1109/ECCE.2010.5617707\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper deals with the diagnosis of Wind Turbines based on generator current analysis. It provides a comparative study between traditional signal processing methods, such as periodograms, with more sophisticated approaches. Performances of these techniques are assessed through simulation experiments and compared for several types of fault, including air-gap eccentricities, broken rotor bars and bearing damages.\",\"PeriodicalId\":161915,\"journal\":{\"name\":\"2010 IEEE Energy Conversion Congress and Exposition\",\"volume\":\"78 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2010-11-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"45\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2010 IEEE Energy Conversion Congress and Exposition\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ECCE.2010.5617707\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2010 IEEE Energy Conversion Congress and Exposition","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ECCE.2010.5617707","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Advanced signal processing techniques for fault detection and diagnosis in a wind turbine induction generator drive train: A comparative study
This paper deals with the diagnosis of Wind Turbines based on generator current analysis. It provides a comparative study between traditional signal processing methods, such as periodograms, with more sophisticated approaches. Performances of these techniques are assessed through simulation experiments and compared for several types of fault, including air-gap eccentricities, broken rotor bars and bearing damages.