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Diagnosability analysis of patterns on bounded labeled prioritized Petri nets

机译:有界标记优先型培养网模式的诊断性分析

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Checking the diagnosability of a discrete event system aims at determining whether a fault can always be identified with certainty after the observation of a bounded number of events. This paper investigates the problem of pattern diagnosability of systems modeled as bounded labeled prioritized Petri nets that extends the diagnosability problem on single fault events to more complex behaviors. An effective method to automatically analyze the diagnosability of a pattern is proposed. It relies on a specific Petri net product that turns the pattern diagnosability problem into a model-checking problem.
机译:检查离散事件系统的诊断目标旨在确定在观察有界数的事件后是否可以肯定地识别出故障。 本文调查了由界限标记的Petri网建模的系统模式诊断问题,将单个故障事件的诊断问题扩展到更复杂的行为。 提出了一种自动分析图案诊断性的有效方法。 它依赖于特定的Petri网产品,将模式诊断性问题变为模型检查问题。

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