计算机科学 ›› 2012, Vol. 39 ›› Issue (11): 160-164.

• 人工智能 • 上一篇    下一篇

一种基于模式的故障诊断方法

崔海春 欧阳丹彤 王晓宇 纪树平   

  1. (吉林大学计算机科学与技术学院 长春 130012) (吉林大学符号计算与知识工程教育部重点实验室 长春 130012) (中国科学院软件研究所软件工程实验室 北京100086)
  • 出版日期:2018-11-16 发布日期:2018-11-16

Approach of Fault Diagnosis Based on Patterns

  • Online:2018-11-16 Published:2018-11-16

摘要: 提出一种改进的基于模式的故障诊断方法。将故障定义为可以用正则表达式描述的模式,避免了传统的用 “特殊”事件表示故障的局限性。将正则表达式转化成等价的确定性有限自动机,便于构造故障模式空间。故障模式 空间包含系统所有的故障信息,可以描述单故障、故障序列、多故障、间歇性故障等多种故障形式。最后给出基于故障 模式空间的可诊断性定义和诊断系统。

关键词: 系统模型,故障模式,可诊断性,诊断问题

Abstract: An improved method of fault diagnosis based on patterns was proposed. Faults are defined as patterns that are described by regular expressions to avoid the limitation of traditionally defining faults which uses `special' events. Regular expressions can be equivalently transformed into deterministic finite automaton, so that fault pattern space can be easily constructed. All the information of faults can be contained in the fault pattern space, which include fault se- quences, multiple faults, and intermittent faults. Finally, the definition of diagnosability based on fault pattern space was given and a diagnostic system was implemented.

Key words: System model,Fault patterns,Diagnosability,Diagnosis problem

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