{"title":"基于1.5维包络谱的滚动轴承故障诊断方法","authors":"Xu Xiaoli, J. Zhanglei, Liang Hao, Li Yuheng","doi":"10.1109/ICEMI46757.2019.9101452","DOIUrl":null,"url":null,"abstract":"Aiming at the difficulty of extracting early fault features of rolling bearings, a fault feature extraction method based on 1.5-dimensional envelope spectrum is proposed. It is proved by formula that the 1.5-dimensional spectrum can not satisfy the quadratic phase coupling, and can be used only when the quadratic frequency coupling is satisfied, which is very helpful for the 1.5-dimensional spectrum analysis of actual signals. Firstly, the vibration signal is demodulated by envelope, and the envelope signal is extracted. Then the envelope signal is processed by 1.5 dimension spectrum to extract the fault characteristics. Through the analysis of the experimental data, the validity of 1.5 dimension envelope spectrum in rolling bearing fault diagnosis is verified.","PeriodicalId":419168,"journal":{"name":"2019 14th IEEE International Conference on Electronic Measurement & Instruments (ICEMI)","volume":"103 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Fault diagnosis method of rolling bearing based on 1.5-dimensional envelope spectrum\",\"authors\":\"Xu Xiaoli, J. Zhanglei, Liang Hao, Li Yuheng\",\"doi\":\"10.1109/ICEMI46757.2019.9101452\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Aiming at the difficulty of extracting early fault features of rolling bearings, a fault feature extraction method based on 1.5-dimensional envelope spectrum is proposed. It is proved by formula that the 1.5-dimensional spectrum can not satisfy the quadratic phase coupling, and can be used only when the quadratic frequency coupling is satisfied, which is very helpful for the 1.5-dimensional spectrum analysis of actual signals. Firstly, the vibration signal is demodulated by envelope, and the envelope signal is extracted. Then the envelope signal is processed by 1.5 dimension spectrum to extract the fault characteristics. Through the analysis of the experimental data, the validity of 1.5 dimension envelope spectrum in rolling bearing fault diagnosis is verified.\",\"PeriodicalId\":419168,\"journal\":{\"name\":\"2019 14th IEEE International Conference on Electronic Measurement & Instruments (ICEMI)\",\"volume\":\"103 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-11-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2019 14th IEEE International Conference on Electronic Measurement & Instruments (ICEMI)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICEMI46757.2019.9101452\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 14th IEEE International Conference on Electronic Measurement & Instruments (ICEMI)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICEMI46757.2019.9101452","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Fault diagnosis method of rolling bearing based on 1.5-dimensional envelope spectrum
Aiming at the difficulty of extracting early fault features of rolling bearings, a fault feature extraction method based on 1.5-dimensional envelope spectrum is proposed. It is proved by formula that the 1.5-dimensional spectrum can not satisfy the quadratic phase coupling, and can be used only when the quadratic frequency coupling is satisfied, which is very helpful for the 1.5-dimensional spectrum analysis of actual signals. Firstly, the vibration signal is demodulated by envelope, and the envelope signal is extracted. Then the envelope signal is processed by 1.5 dimension spectrum to extract the fault characteristics. Through the analysis of the experimental data, the validity of 1.5 dimension envelope spectrum in rolling bearing fault diagnosis is verified.