{"title":"基于未消差小波变换的风电齿轮箱轴承故障在线监测与诊断研究","authors":"Zhou Fu-cheng","doi":"10.1109/YCICT.2010.5713092","DOIUrl":null,"url":null,"abstract":"When gearbox operated abnormally, a frequency vibration energy of signal after undecimated wavelet transformation would have great changes, the online monitoring and diagnosis system of wind turbine gearbox was developed accordingly. Measured the vibration signal of bearing fault in the laboratory, The results showed that this proposed method can be more accurate display characteristics, which was conducive to diagnose bearing failure quickly and effectively.","PeriodicalId":179847,"journal":{"name":"2010 IEEE Youth Conference on Information, Computing and Telecommunications","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2010-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":"{\"title\":\"Research on online monitoring and diagnosis of bearing fault of wind turbine gearbox based on undecimated wavelet transformation\",\"authors\":\"Zhou Fu-cheng\",\"doi\":\"10.1109/YCICT.2010.5713092\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"When gearbox operated abnormally, a frequency vibration energy of signal after undecimated wavelet transformation would have great changes, the online monitoring and diagnosis system of wind turbine gearbox was developed accordingly. Measured the vibration signal of bearing fault in the laboratory, The results showed that this proposed method can be more accurate display characteristics, which was conducive to diagnose bearing failure quickly and effectively.\",\"PeriodicalId\":179847,\"journal\":{\"name\":\"2010 IEEE Youth Conference on Information, Computing and Telecommunications\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2010-11-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"6\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2010 IEEE Youth Conference on Information, Computing and Telecommunications\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/YCICT.2010.5713092\",\"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 Youth Conference on Information, Computing and Telecommunications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/YCICT.2010.5713092","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Research on online monitoring and diagnosis of bearing fault of wind turbine gearbox based on undecimated wavelet transformation
When gearbox operated abnormally, a frequency vibration energy of signal after undecimated wavelet transformation would have great changes, the online monitoring and diagnosis system of wind turbine gearbox was developed accordingly. Measured the vibration signal of bearing fault in the laboratory, The results showed that this proposed method can be more accurate display characteristics, which was conducive to diagnose bearing failure quickly and effectively.