{"title":"基于不可观测共分布的非线性故障检测与隔离","authors":"Xinghui Zhang, Xiafu Peng, Xunyu Zhong","doi":"10.1109/PHM.2012.6228819","DOIUrl":null,"url":null,"abstract":"This paper deals with fault detection and isolation (FDI) in nonlinear systems using unobservability codistribution. A solution to the problem of fault detection and isolation for nonlinear systems, which is based on the relevant change of coordinate, is characterized in terms of unobservability codistribution. Then a dimensional linear state observer is constructed, according to the new system, to build a residual generation which is available to detect and isolate the occurrence of faults. The above development is illustrated through a real application dealing with the detection and isolation of two failures.","PeriodicalId":444815,"journal":{"name":"Proceedings of the IEEE 2012 Prognostics and System Health Management Conference (PHM-2012 Beijing)","volume":"06 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2012-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Nonlinear fault detection and isolation via unobservability codistribution\",\"authors\":\"Xinghui Zhang, Xiafu Peng, Xunyu Zhong\",\"doi\":\"10.1109/PHM.2012.6228819\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper deals with fault detection and isolation (FDI) in nonlinear systems using unobservability codistribution. A solution to the problem of fault detection and isolation for nonlinear systems, which is based on the relevant change of coordinate, is characterized in terms of unobservability codistribution. Then a dimensional linear state observer is constructed, according to the new system, to build a residual generation which is available to detect and isolate the occurrence of faults. The above development is illustrated through a real application dealing with the detection and isolation of two failures.\",\"PeriodicalId\":444815,\"journal\":{\"name\":\"Proceedings of the IEEE 2012 Prognostics and System Health Management Conference (PHM-2012 Beijing)\",\"volume\":\"06 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2012-05-23\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"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.2012.6228819\",\"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.2012.6228819","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Nonlinear fault detection and isolation via unobservability codistribution
This paper deals with fault detection and isolation (FDI) in nonlinear systems using unobservability codistribution. A solution to the problem of fault detection and isolation for nonlinear systems, which is based on the relevant change of coordinate, is characterized in terms of unobservability codistribution. Then a dimensional linear state observer is constructed, according to the new system, to build a residual generation which is available to detect and isolate the occurrence of faults. The above development is illustrated through a real application dealing with the detection and isolation of two failures.