Intermittent fault diagnosis of industrial systems in a model-checking framework

Abderraouf Boussif, M. Ghazel
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引用次数: 5

Abstract

In this paper, a formal verification approach for diagnosability analysis of intermittent faults is proposed. In this approach, the industrial systems are abstracted as discrete-event systems (DES) and modeled by finite state automata (FSA), then a model-checking framework is set to deal with diagnosability issues. Intermittent faults are defined as faults that can automatically recover once they occur. We first revisit two existing definitions of diagnosability of intermittent faults, regarding the occurrence of faults and their normalization (i.e., disappearance of faults). Then, necessary and sufficient conditions are developed based on the twin plant construction, and reformulated as linear temporal logic (LTL) formulas in order to use model-checking for actual verification. A benchmark is used to illustrate the contributions discussed and to assess the efficiency and the scalability of the proposed approach.1
模型检查框架下的工业系统间歇故障诊断
本文提出了一种用于间歇故障可诊断性分析的形式化验证方法。在该方法中,将工业系统抽象为离散事件系统(DES),并通过有限状态自动机(FSA)建模,然后设置模型检查框架来处理可诊断性问题。间歇性故障是指发生后可以自动恢复的故障。我们首先回顾了关于间歇性故障可诊断性的两个现有定义,关于故障的发生和它们的规范化(即故障的消失)。在此基础上,建立了基于双厂结构的充要条件,并将其重新表述为线性时间逻辑(LTL)公式,以便于用模型检验进行实际验证。本文使用一个基准来说明所讨论的贡献,并评估所提出方法的效率和可伸缩性
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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