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On-Line Fault Diagnosis With Partially Observed Petri Nets

机译:部分观测Petri网的在线故障诊断

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摘要

This technical note concerns fault detection and diagnosis for discrete event systems modeled with partially observed 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. To this end, the observation sequences are decomposed into elementary observation sequences, linear matrix inequalities are used to compute the firing sequences consistent with each elementary observation sequence and an algorithm of linear complexity with respect to the length of the observation sequences is proposed to provide on-line diagnosis decisions.
机译:本技术说明涉及使用部分观察到的Petri网建模的离散事件系统的故障检测和诊断。所提出的方法通过分析观测序列来提供诊断决策,这些观测序列包括一些可观察到的事件以及对系统访问的连续状态的部分测量。为此,将观测序列分解为基本观测序列,使用线性矩阵不等式来计算与每个基本观测序列一致的触发序列,并提出了关于观测序列长度的线性复杂度算法,以提供在线诊断决策。

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