{"title":"DCA based multi-level small fault diagnosis","authors":"F. Zhou, Tianhao Tang, Chenglin Wen","doi":"10.1109/ICCT.2008.4716084","DOIUrl":null,"url":null,"abstract":"To diagnose multiple faults of multivariate system, DCA (designated component analysis) is introduced to avoid the pattern compounding problem of PCA (principal component analysis). In this paper and a DCA based multi-level small fault diagnosis method is developed for multiple faults diagnosis when small faults are involved in the system. Simulation for observation data involved 4 faults shows its efficiency.","PeriodicalId":259577,"journal":{"name":"2008 11th IEEE International Conference on Communication Technology","volume":"16 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2008-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2008 11th IEEE International Conference on Communication Technology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCT.2008.4716084","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 6
Abstract
To diagnose multiple faults of multivariate system, DCA (designated component analysis) is introduced to avoid the pattern compounding problem of PCA (principal component analysis). In this paper and a DCA based multi-level small fault diagnosis method is developed for multiple faults diagnosis when small faults are involved in the system. Simulation for observation data involved 4 faults shows its efficiency.
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