{"title":"基于小波包分析的高压断路器机械故障诊断","authors":"Xiao-guang Hu, F. Wang, Hailong Zhao, Yanchao Ji","doi":"10.1109/IMTC.2003.1208192","DOIUrl":null,"url":null,"abstract":"AIn this paper, a fault diagnosis method to vibration signals of high voltage breakers is introduced The new method is based on the waveletpacket transform and the energy spectrum of wavelet packet is as the characteristic parameter of the fault diagnosis for the high voltage breakers. The given signal is decomposed to thefiner frequency band by the random time and frequency resolution nnd the frequency resolution of signal processing is improved using the wavelet packet transform. The signal from the wavelet packet orthogonal decomposition in each frequency band is independent and its energy is conserve. The simulating results demonstrate that it is valid to use the wavelet packet analysis transform in mechanic fault diagnosis of high voltage breakers.","PeriodicalId":135321,"journal":{"name":"Proceedings of the 20th IEEE Instrumentation Technology Conference (Cat. No.03CH37412)","volume":"154 10 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2003-05-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":"{\"title\":\"The mechanical fault diagnosis for hv breakers on the wavelet packet analysis\",\"authors\":\"Xiao-guang Hu, F. Wang, Hailong Zhao, Yanchao Ji\",\"doi\":\"10.1109/IMTC.2003.1208192\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"AIn this paper, a fault diagnosis method to vibration signals of high voltage breakers is introduced The new method is based on the waveletpacket transform and the energy spectrum of wavelet packet is as the characteristic parameter of the fault diagnosis for the high voltage breakers. The given signal is decomposed to thefiner frequency band by the random time and frequency resolution nnd the frequency resolution of signal processing is improved using the wavelet packet transform. The signal from the wavelet packet orthogonal decomposition in each frequency band is independent and its energy is conserve. The simulating results demonstrate that it is valid to use the wavelet packet analysis transform in mechanic fault diagnosis of high voltage breakers.\",\"PeriodicalId\":135321,\"journal\":{\"name\":\"Proceedings of the 20th IEEE Instrumentation Technology Conference (Cat. No.03CH37412)\",\"volume\":\"154 10 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2003-05-20\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"5\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 20th IEEE Instrumentation Technology Conference (Cat. No.03CH37412)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IMTC.2003.1208192\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 20th IEEE Instrumentation Technology Conference (Cat. No.03CH37412)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IMTC.2003.1208192","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
The mechanical fault diagnosis for hv breakers on the wavelet packet analysis
AIn this paper, a fault diagnosis method to vibration signals of high voltage breakers is introduced The new method is based on the waveletpacket transform and the energy spectrum of wavelet packet is as the characteristic parameter of the fault diagnosis for the high voltage breakers. The given signal is decomposed to thefiner frequency band by the random time and frequency resolution nnd the frequency resolution of signal processing is improved using the wavelet packet transform. The signal from the wavelet packet orthogonal decomposition in each frequency band is independent and its energy is conserve. The simulating results demonstrate that it is valid to use the wavelet packet analysis transform in mechanic fault diagnosis of high voltage breakers.