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赋时事件图(TEG)是一类用于描述同步特性的重要的Petri网.本文提出并研究了基于赋时事件图的故障诊断问题.文中定义了两类系统故障类型:变迁失效(Invalidation)故障和变迁时间延迟(Time_lag)故障.基于事件图关联矩阵,通过研究变迁失效故障的可观测传播特性,引入了故障特征向量的概念.基于此,给出了失效故障的可诊断性的充分必要条件.对于时延故障,提出了一种基于变迁触发时间估计进行故障诊断的简单算法.并基于此算法,研究了时延故障的可诊断条件.
Time-dependent event graph (TEG) is a kind of important Petri net used to describe the synchronization characteristics.This paper proposes and studies the fault diagnosis problem based on timed event graph.Two categories of system fault types are defined: Invalidation, Fault and transition time delay (Time_lag) fault.Based on the event graph correlation matrix, the concept of fault eigenvector is introduced by studying the observable propagation characteristics of fault failure.Accordingly, the necessary and sufficient Condition.Aiming at the delay fault, a simple algorithm based on transition trigger time estimation is proposed.And based on this algorithm, the diagnostic conditions of delay fault are studied.