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N-diagnosability for active on-line diagnosis in discrete event systems

机译:在离散事件系统中激活在线诊断的N诊断

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In this paper, we investigate active on-line diagnosis in discrete event systems. Active diagnosis can be used for fault detection, fault localization, fault-tolerant control, among others. Discrete event systems are general models for complex manmade systems. For the active on-line diagnosis, we do not construct the entire diagnostic automaton off-line. Instead, we look N steps ahead to determine active diagnosability and calculate diagnostic strategies. Thus, we define active N-diagnosability and investigate the relation between active diagnosability and active N-diagnosability. We also develop an algorithm to check active N-diagnosability. If a system is actively N-diagnosable, the algorithm will also give the control that diagnoses the system. We show that there are significant computational advantages for using the on-line approach. (C) 2017 Elsevier Ltd. All rights reserved.
机译:在本文中,我们在离散事件系统中调查了积极的在线诊断。 主动诊断可用于故障检测,故障定位,容错控制等。 离散事件系统是复杂人造系统的一般模型。 对于积极的在线诊断,我们不会构建整个诊断自动机离线。 相反,我们向前看的步骤以确定主动诊断,并计算诊断策略。 因此,我们定义了活动的N诊断性,并研究了主动诊断性和有源N诊断之间的关系。 我们还开发了一种检查有源N诊断的算法。 如果系统是主动N诊断的,则该算法还将提供诊断系统的控件。 我们表明使用了在线方法存在显着的计算优势。 (c)2017 Elsevier Ltd.保留所有权利。

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