Fault Detection and Diagnosis Based on Time Petri Net
Fault Detection and Diagnosis (FDD) for Discrete Event System (DES) is a crucial task in automatic control. Petri nets have been widely used to model and analyze DES because of the ability of capturing asynchronous and concurrent system dynamics, and time petri net is a kind of time extension of petri net. We know that the petri net of given system cant be diagnosable when there exists uncertain cycle, this is the limitation of fault detection and diagnosis using untimed petri net. To overcome the limitation, we introduce the time petri net (TPN) to model the system in this paper. According to the observed events and time, we show how to perform fault detection and diagnosis by the time-analysis. The method proposed in this paper can realize the fault diagnosis that cant be diagnosed due to the existence of uncertain cycle such as F-confused place. Furthermore, the method can diagnose the time-dependent fault in system. The method is straightforward and available. One example is provided for illustration.
Fault Detection and Diagnosis (FDD) Time Petri Net (TPN) time-analysis F-confused place
Wang xiaoli Chen guangju Xie yue Guo zhaoxin
Computer Application Institute,China Academy Engineering Physics,MianYang,Sichuan,621900;Department Department of Automation Engineering,University of Electronic Science and Technology of China,Chengd Computer Application Institute,China Academy Engineering Physics,MianYang,Sichuan,621900
国际会议
西安
英文
2007-08-16（万方平台首次上网日期，不代表论文的发表时间）