{"title":"一种联邦滤波器的集成故障检测方案","authors":"Qiu Kai, Yin Hui, Yan Peng, Ren Yan","doi":"10.1109/ICDMA.2013.38","DOIUrl":null,"url":null,"abstract":"Using the common failure detection reference provided by the federated Kalman filter (FKF), an integrated fault detection scheme for the FKF is developed by checking the consistency between the output of each local sensor and that of a fusion state predictor. With this scheme the state chi-square test and residual chi-square test are integrated together and applied to the fault detection of the FKF. Simulation shows this integrated method is effective and has high sensitivity of fault detection.","PeriodicalId":403312,"journal":{"name":"2013 Fourth International Conference on Digital Manufacturing & Automation","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-06-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":"{\"title\":\"An Integrated Fault Detection Scheme for the Federated Filter\",\"authors\":\"Qiu Kai, Yin Hui, Yan Peng, Ren Yan\",\"doi\":\"10.1109/ICDMA.2013.38\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Using the common failure detection reference provided by the federated Kalman filter (FKF), an integrated fault detection scheme for the FKF is developed by checking the consistency between the output of each local sensor and that of a fusion state predictor. With this scheme the state chi-square test and residual chi-square test are integrated together and applied to the fault detection of the FKF. Simulation shows this integrated method is effective and has high sensitivity of fault detection.\",\"PeriodicalId\":403312,\"journal\":{\"name\":\"2013 Fourth International Conference on Digital Manufacturing & Automation\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2013-06-29\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"6\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2013 Fourth International Conference on Digital Manufacturing & Automation\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICDMA.2013.38\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2013 Fourth International Conference on Digital Manufacturing & Automation","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICDMA.2013.38","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
An Integrated Fault Detection Scheme for the Federated Filter
Using the common failure detection reference provided by the federated Kalman filter (FKF), an integrated fault detection scheme for the FKF is developed by checking the consistency between the output of each local sensor and that of a fusion state predictor. With this scheme the state chi-square test and residual chi-square test are integrated together and applied to the fault detection of the FKF. Simulation shows this integrated method is effective and has high sensitivity of fault detection.