{"title":"谐波小波包方法及其在旋转机械信号分析中的应用","authors":"Guiji Tang, Jinsheng Ye, Rongpei Zhang, Aijun Hu","doi":"10.1109/IASP.2009.5054574","DOIUrl":null,"url":null,"abstract":"The application of wavelet analysis in fault diagnosis is growing rapidly. This paper examined the advantages of harmonic wavelets and realized the capability of analyzing harmonic wavelet on arbitrary detail of frequency section. The simulating signal can be extracted effectively in frequency domain by harmonic wavelet packet transform and can easily be reconstructed in time domain. This paper has obtained good results by analyzing the rubbing vibration signal of turbine-generator units, thereby providing a new method for fault diagnosis of rotor rubbing.","PeriodicalId":143959,"journal":{"name":"2009 International Conference on Image Analysis and Signal Processing","volume":"21 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2009-04-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Harmonic wavelet packets method and its application to signal analysis of rotating machinery\",\"authors\":\"Guiji Tang, Jinsheng Ye, Rongpei Zhang, Aijun Hu\",\"doi\":\"10.1109/IASP.2009.5054574\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The application of wavelet analysis in fault diagnosis is growing rapidly. This paper examined the advantages of harmonic wavelets and realized the capability of analyzing harmonic wavelet on arbitrary detail of frequency section. The simulating signal can be extracted effectively in frequency domain by harmonic wavelet packet transform and can easily be reconstructed in time domain. This paper has obtained good results by analyzing the rubbing vibration signal of turbine-generator units, thereby providing a new method for fault diagnosis of rotor rubbing.\",\"PeriodicalId\":143959,\"journal\":{\"name\":\"2009 International Conference on Image Analysis and Signal Processing\",\"volume\":\"21 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2009-04-11\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2009 International Conference on Image Analysis and Signal Processing\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IASP.2009.5054574\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2009 International Conference on Image Analysis and Signal Processing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IASP.2009.5054574","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Harmonic wavelet packets method and its application to signal analysis of rotating machinery
The application of wavelet analysis in fault diagnosis is growing rapidly. This paper examined the advantages of harmonic wavelets and realized the capability of analyzing harmonic wavelet on arbitrary detail of frequency section. The simulating signal can be extracted effectively in frequency domain by harmonic wavelet packet transform and can easily be reconstructed in time domain. This paper has obtained good results by analyzing the rubbing vibration signal of turbine-generator units, thereby providing a new method for fault diagnosis of rotor rubbing.
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