Walid Bouallegue, Salma Bouslama Bouabdallah, M. Tagina
{"title":"键图不确定参数系统的自适应模糊FDI方法","authors":"Walid Bouallegue, Salma Bouslama Bouabdallah, M. Tagina","doi":"10.1109/ICECS.2011.6122357","DOIUrl":null,"url":null,"abstract":"In this paper, a new adaptive fuzzy Fault Detection and Isolation (FDI) approach of non linear Bond Graph (BG) uncertain parameters systems is proposed. In this approach two methods are combined: adaptive thresholds based method and a fuzzy logic method. A simulation example of a real system is provided to show the efficiency of the proposed method in comparison to to adaptive thresholds based method.","PeriodicalId":251525,"journal":{"name":"2011 18th IEEE International Conference on Electronics, Circuits, and Systems","volume":"73 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2011-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"A new adaptive fuzzy FDI method for Bond Graph uncertain parameters systems\",\"authors\":\"Walid Bouallegue, Salma Bouslama Bouabdallah, M. Tagina\",\"doi\":\"10.1109/ICECS.2011.6122357\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, a new adaptive fuzzy Fault Detection and Isolation (FDI) approach of non linear Bond Graph (BG) uncertain parameters systems is proposed. In this approach two methods are combined: adaptive thresholds based method and a fuzzy logic method. A simulation example of a real system is provided to show the efficiency of the proposed method in comparison to to adaptive thresholds based method.\",\"PeriodicalId\":251525,\"journal\":{\"name\":\"2011 18th IEEE International Conference on Electronics, Circuits, and Systems\",\"volume\":\"73 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2011-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2011 18th IEEE International Conference on Electronics, Circuits, and Systems\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICECS.2011.6122357\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2011 18th IEEE International Conference on Electronics, Circuits, and Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICECS.2011.6122357","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A new adaptive fuzzy FDI method for Bond Graph uncertain parameters systems
In this paper, a new adaptive fuzzy Fault Detection and Isolation (FDI) approach of non linear Bond Graph (BG) uncertain parameters systems is proposed. In this approach two methods are combined: adaptive thresholds based method and a fuzzy logic method. A simulation example of a real system is provided to show the efficiency of the proposed method in comparison to to adaptive thresholds based method.