基于Petri网的生产配电系统故障诊断

2013 IEEE 18th Conference on Emerging Technologies & Factory Automation (ETFA) Pub Date : 2013-10-28 DOI:10.1109/ETFA.2013.6648089

D. Lefebvre

{"title":"基于Petri网的生产配电系统故障诊断","authors":"D. Lefebvre","doi":"10.1109/ETFA.2013.6648089","DOIUrl":null,"url":null,"abstract":"This paper addresses the problems of fault detection and diagnosis for dynamic discrete event systems modeled with Petri nets. The proposed method provides diagnosis decisions via the analysis of observation sequences that include some observable events and the partial measurement of the successive states visited by the system. The method is applied on a production and distribution system.","PeriodicalId":106678,"journal":{"name":"2013 IEEE 18th Conference on Emerging Technologies & Factory Automation (ETFA)","volume":"99 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-10-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Fault diagnosis of a production and distribution system with Petri nets\",\"authors\":\"D. Lefebvre\",\"doi\":\"10.1109/ETFA.2013.6648089\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper addresses the problems of fault detection and diagnosis for dynamic discrete event systems modeled with Petri nets. The proposed method provides diagnosis decisions via the analysis of observation sequences that include some observable events and the partial measurement of the successive states visited by the system. The method is applied on a production and distribution system.\",\"PeriodicalId\":106678,\"journal\":{\"name\":\"2013 IEEE 18th Conference on Emerging Technologies & Factory Automation (ETFA)\",\"volume\":\"99 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2013-10-28\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"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.2013.6648089\",\"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.2013.6648089","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}

引用次数: 0

摘要

研究了用Petri网建模的动态离散事件系统的故障检测与诊断问题。该方法通过分析观测序列来提供诊断决策，该序列包括一些可观测事件和系统所访问的连续状态的部分测量。该方法应用于一个生产和分配系统。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

查看原文本刊更多论文

Fault diagnosis of a production and distribution system with Petri nets

This paper addresses the problems of fault detection and diagnosis for dynamic discrete event systems modeled with Petri nets. The proposed method provides diagnosis decisions via the analysis of observation sequences that include some observable events and the partial measurement of the successive states visited by the system. The method is applied on a production and distribution system.

求助全文

通过发布文献求助，成功后即可免费获取论文全文。去求助

来源期刊

2013 IEEE 18th Conference on Emerging Technologies & Factory Automation (ETFA)

自引率

0.00%

发文量