{"title":"基于故障诊断图的分散诊断","authors":"Xu Wang, C. Mahulea, M. Suárez","doi":"10.1109/ETFA.2013.6648060","DOIUrl":null,"url":null,"abstract":"In this paper, we consider the decentralized fault diagnosis problem of discrete event systems modeled by time Petri nets (TPNs). Our approach is based on the fault diagnosis graph which is obtained from the time reachability graph by removing the irrelevant nodes. A coordinator computes the diagnosis states of the global system using information from subsystems. Local systems send small amounts of information to the coordinator for the computation of diagnosis states of the global system.","PeriodicalId":106678,"journal":{"name":"2013 IEEE 18th Conference on Emerging Technologies & Factory Automation (ETFA)","volume":"117 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-10-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Decentralized diagnosis based on fault diagnosis graph\",\"authors\":\"Xu Wang, C. Mahulea, M. Suárez\",\"doi\":\"10.1109/ETFA.2013.6648060\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, we consider the decentralized fault diagnosis problem of discrete event systems modeled by time Petri nets (TPNs). Our approach is based on the fault diagnosis graph which is obtained from the time reachability graph by removing the irrelevant nodes. A coordinator computes the diagnosis states of the global system using information from subsystems. Local systems send small amounts of information to the coordinator for the computation of diagnosis states of the global system.\",\"PeriodicalId\":106678,\"journal\":{\"name\":\"2013 IEEE 18th Conference on Emerging Technologies & Factory Automation (ETFA)\",\"volume\":\"117 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2013-10-28\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2013 IEEE 18th Conference on Emerging Technologies & Factory Automation (ETFA)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ETFA.2013.6648060\",\"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 IEEE 18th Conference on Emerging Technologies & Factory Automation (ETFA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ETFA.2013.6648060","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Decentralized diagnosis based on fault diagnosis graph
In this paper, we consider the decentralized fault diagnosis problem of discrete event systems modeled by time Petri nets (TPNs). Our approach is based on the fault diagnosis graph which is obtained from the time reachability graph by removing the irrelevant nodes. A coordinator computes the diagnosis states of the global system using information from subsystems. Local systems send small amounts of information to the coordinator for the computation of diagnosis states of the global system.