基于Petri网的DES故障识别

Wenyan Hou, Jianhong Ye, Jiayao Wang
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引用次数: 0

摘要

研究离散事件系统的故障识别问题。设计好的系统会产生偏差测井,这往往意味着系统在实际运行中存在故障。然而,这些失败以不可见的转换形式出现在日志中。因此,如何快速发现这些故障是一个值得研究的问题。本文在Petri网的框架内研究了两个实例。首先,前提是系统模型中的每个转换都被清楚地识别出来,我们重点研究如何从偏差日志中发现这些故障。结合状态标记和转换关系的差异来识别这些故障。其次,我们将其扩展到标记Petri网,即系统中的一些跃迁具有相同的名称。首先明确了网络系统中各个标签转换的位置,然后采用改进算法解决这类问题。实验证明了所提方法的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Fault identification of DES using Petri net
This paper deals with the problem of fault identification in discrete event systems. A designed system will produce deviation log, which often implies that there are faults in the actual operation of the system. However, these failures appear in the log in the form of invisible transitions. Therefore, how to quickly find these faults is a worth issue. In this paper two cases are studied within the framework of Petri net. Firstly, the prerequisite is that each transition in the system model is clearly identified, and we focus on how to find these faults from the deviation log. The status marking and the difference of the transition relationship are combined to identify these faults. Secondly, we extend it to label Petri net, i.e., some transitions in the system have the same name. The position of each label transition in the network system is clarified firstly, and then an improved algorithm is used to solve this kind of problem. Experiments are presented to demonstrate the effectiveness of proposed approaches.
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