{"title":"变速机械故障诊断的综述与对策","authors":"Jing Lin, Ming Zhao","doi":"10.1109/ICPHM.2014.7036368","DOIUrl":null,"url":null,"abstract":"In this article, the challenges in condition monitoring and fault diagnosis of rotating machinery under speed-varying working condition is discussed. A general review is then given about the research progress of signal processing techniques dealing with non-stationary signal under that working condition. How to fully exploit the rich diagnostic information from the speed-varying processes is addressed. Some prospects are given finally.","PeriodicalId":376942,"journal":{"name":"2014 International Conference on Prognostics and Health Management","volume":"14 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-06-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"17","resultStr":"{\"title\":\"A review and strategy for the diagnosis of speed-varying machinery\",\"authors\":\"Jing Lin, Ming Zhao\",\"doi\":\"10.1109/ICPHM.2014.7036368\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this article, the challenges in condition monitoring and fault diagnosis of rotating machinery under speed-varying working condition is discussed. A general review is then given about the research progress of signal processing techniques dealing with non-stationary signal under that working condition. How to fully exploit the rich diagnostic information from the speed-varying processes is addressed. Some prospects are given finally.\",\"PeriodicalId\":376942,\"journal\":{\"name\":\"2014 International Conference on Prognostics and Health Management\",\"volume\":\"14 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2014-06-22\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"17\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2014 International Conference on Prognostics and Health Management\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICPHM.2014.7036368\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2014 International Conference on Prognostics and Health Management","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICPHM.2014.7036368","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A review and strategy for the diagnosis of speed-varying machinery
In this article, the challenges in condition monitoring and fault diagnosis of rotating machinery under speed-varying working condition is discussed. A general review is then given about the research progress of signal processing techniques dealing with non-stationary signal under that working condition. How to fully exploit the rich diagnostic information from the speed-varying processes is addressed. Some prospects are given finally.