{"title":"未知输入未知系统故障检测与诊断方法的应用","authors":"H. Wang, S. Daley","doi":"10.23919/ACC.1992.4792506","DOIUrl":null,"url":null,"abstract":"This paper presents a fault detection and diagnosis method for unknown systems with unknown input. Using the same formulation as described in [1], a residual signal is formed which is independent of the unknown input but dependent on the unknown system parameters and the measurements. An identification algorithm with an improved modification procedure for the covariance matrix is obtained and is then used to track parameter changes caused by system faults. The method is demonstrated through its application to a hydraulic turbine generating unit.","PeriodicalId":297258,"journal":{"name":"1992 American Control Conference","volume":"189 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1992-06-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Application of a Fault Detection and Diagnosis Method for Unknown Systems with Unknown Input\",\"authors\":\"H. Wang, S. Daley\",\"doi\":\"10.23919/ACC.1992.4792506\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper presents a fault detection and diagnosis method for unknown systems with unknown input. Using the same formulation as described in [1], a residual signal is formed which is independent of the unknown input but dependent on the unknown system parameters and the measurements. An identification algorithm with an improved modification procedure for the covariance matrix is obtained and is then used to track parameter changes caused by system faults. The method is demonstrated through its application to a hydraulic turbine generating unit.\",\"PeriodicalId\":297258,\"journal\":{\"name\":\"1992 American Control Conference\",\"volume\":\"189 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1992-06-24\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"1992 American Control Conference\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.23919/ACC.1992.4792506\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"1992 American Control Conference","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.23919/ACC.1992.4792506","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Application of a Fault Detection and Diagnosis Method for Unknown Systems with Unknown Input
This paper presents a fault detection and diagnosis method for unknown systems with unknown input. Using the same formulation as described in [1], a residual signal is formed which is independent of the unknown input but dependent on the unknown system parameters and the measurements. An identification algorithm with an improved modification procedure for the covariance matrix is obtained and is then used to track parameter changes caused by system faults. The method is demonstrated through its application to a hydraulic turbine generating unit.
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