具有时间序列约束的离散事件系统故障诊断

M. Liao, Cui Lu, Hong Zhang, Sheng-Jie Wei, Ying Zheng
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引用次数: 0

摘要

基于自动机模型的方法广泛应用于离散事件系统的故障诊断。在实际的系统中,系统事件的发生往往有固定的顺序,故障可能是可恢复的。传统的自动机模型无法处理这些问题。本文建立了一个包含时间序列信息的自动机模型,这有助于准确地描述系统,简化模型结构。在此模型的基础上,提出了一种故障诊断方法,通过搜索系统中可观察到的事件序列来获得诊断结果。实例表明,与传统方法相比,该方法减少了诊断路径数,节省了诊断时间。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Fault diagnosis of discrete event systems with time sequence constraint
Automata model based method is widely applied for fault diagnosis of discrete event systems. In practical systems, the occurrences of system events often have fixed order, and the faults may be reCoverable. The traditional automata model cannot handle these problems. In this paper, an automata model containing the information of time sequence is built, which will help to describe the system accurately and simplify the structure of the model. Based on this model, a diagnosis method is proposed to diagnose the faults, which searches for the observable events sequence of the system to obtain diagnosis results. An example indicates that the proposed method can reduce the number of diagnose paths and save diagnosis time compared with the traditional method.
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