基于动态观测的随机离散事件系统故障诊断
作者:
作者单位:

广东工业大学计算机学院

作者简介:

通讯作者:

中图分类号:

TP13

基金项目:

国家自然科学基金项目(面上项目,重点项目,重大项目),广东省自然科学基金项目,广东工业大学计算机学院重大奖项培育项目


Fault Diagnosis of Stochastic Discrete Event System Based on Dynamic Observations
Author:
Affiliation:

School of Computers, Guangdong University of Technology

Fund Project:

National Natural Science Foundation,National Natural Science Foundation of Guangdong Province,Major Award Training Program of School of Computers of GDUT of China

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    摘要:

    近年来,离散事件系统故障诊断研究引起了国内外学者的广泛关注。本文引入动态观测,提出一种基于动态观测的随机离散事件系统的故障诊断方法,实现了对单故障事件和模式故障事件的诊断。首先引入一种动态观测,使事件的可观测性随着系统的运行而动态变化。然后分别对基于动态观测的随机离散事件系统的单故障可诊断性和模式故障可诊断性进行形式化定义。最后通过构造相应的诊断器,分别得到关于单故障可诊断性和模式故障可诊断性的充分必要条件,实现了动态观测下随机离散事件系统的故障诊断。

    Abstract:

    In recent years, the research on fault diagnosis of discrete event system (DESs) has attracted the attention of many scholars at home and abroad. In this paper, dynamic observation is introduced, and a fault diagnosis method of stochastic DESs based on dynamic observation is proposed to realize the diagnosis of single-fault events and pattern-fault events. Firstly, a kind of dynamic observation is introduced to make the observability of events change dynamically with the operation of the system. Then, both the diagnosability of single-fault events and the diagnosability of pattern-fault events for stochastic DESs based on dynamic observation are formalized. A necessary and sufficient condition of diagnosability of single-fault and pattern-fault events is obtained by constructing the corresponding diagnosis automata. The fault diagnosis of stochastic DESs under dynamic observation is realized.

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  • 收稿日期:2020-08-11
  • 最后修改日期:2020-12-07
  • 录用日期:2020-12-25
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