计算机应用

• 人工智能与先进计算(Artificial intelligen • 上一篇    下一篇

基于模糊推理图的故障诊断

周海英 董素荣   

  1. 中北大学 电子与计算机科学技术学院 中北大学 机电工程学院
  • 收稿日期:2007-12-17 修回日期:2008-01-26 发布日期:2008-06-01 出版日期:2008-06-01
  • 通讯作者: 周海英

Fault diagnosis based on fuzzy inference graph

Hai-ying ZHOU Su-rong DONG   

  • Received:2007-12-17 Revised:2008-01-26 Online:2008-06-01 Published:2008-06-01
  • Contact: Hai-ying ZHOU

摘要: 根据系统元件之间的连接结构构建故障诊断模糊推理图,通过对模糊推理图进行化简及模糊运算实现对系统的故障诊断。以观测点作为属性准则形成诊断矩阵,在推理图中按照原因-结果对进行连续推理,获得一个模糊诊断的优先级别排列,以减少故障的排查时间。

关键词: 故障诊断, 推理图, 属性准则

Abstract: A fuzzy fault diagnosis inference graph was built according to the architecture of the system modules. The minimization of fault diagnosis was realized by simplifying fuzzy inference graph and employing fuzzy operations. Based on feature criteria of observation positions, a diagnosis matrix was formed to carry out successive inference through cause-effect. As a result, a fuzzy diagnosis rank was obtained, which optimized the diagnosis detection.

Key words: fault diagnosis, inference graph, feature criterion