{"title":"故障诊断中标称参数的评定","authors":"E. W. M. Ma, T. Chow, M. Pecht","doi":"10.1109/PHM.2012.6228840","DOIUrl":null,"url":null,"abstract":"The first critical step in system health management, which enhance the safety, reliability, and availability of the system, is collecting appropriate data for further process. In this paper, an evaluation method for monitoring nominal parameters is proposed. The approach combines classification and clustering to evaluate the relevance of the monitored parameters and the faults.","PeriodicalId":444815,"journal":{"name":"Proceedings of the IEEE 2012 Prognostics and System Health Management Conference (PHM-2012 Beijing)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2012-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Evaluating nominal parameters in fault diagnosis\",\"authors\":\"E. W. M. Ma, T. Chow, M. Pecht\",\"doi\":\"10.1109/PHM.2012.6228840\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The first critical step in system health management, which enhance the safety, reliability, and availability of the system, is collecting appropriate data for further process. In this paper, an evaluation method for monitoring nominal parameters is proposed. The approach combines classification and clustering to evaluate the relevance of the monitored parameters and the faults.\",\"PeriodicalId\":444815,\"journal\":{\"name\":\"Proceedings of the IEEE 2012 Prognostics and System Health Management Conference (PHM-2012 Beijing)\",\"volume\":\"27 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2012-05-23\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the IEEE 2012 Prognostics and System Health Management Conference (PHM-2012 Beijing)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/PHM.2012.6228840\",\"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 IEEE 2012 Prognostics and System Health Management Conference (PHM-2012 Beijing)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/PHM.2012.6228840","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
The first critical step in system health management, which enhance the safety, reliability, and availability of the system, is collecting appropriate data for further process. In this paper, an evaluation method for monitoring nominal parameters is proposed. The approach combines classification and clustering to evaluate the relevance of the monitored parameters and the faults.