taptap下载安装安卓学报

• 民用航空 • 上一篇    下一篇

基于CBR 的飞机引气系统故障诊断案例库构造

何永勃,王丽哲,杨燕辉   

  1. (taptap下载安装安卓航空自动化学院,天津300300)
  • 收稿日期:2012-11-02 修回日期:2013-01-05 出版日期:2013-12-11 发布日期:2013-12-12
  • 作者简介:何永勃(1971—),男,陕西蒲城人,副教授,博士,研究方向为航空电气故障诊断、自动化仪表.
  • 基金资助:

    国家自然科学基金项目(61179004)

Case base construction of fault diagnosis for aircraft pneumatic system based on CBR

HE Yong-bo,WANG Li-zhe,YANG Yan-hui   

  1. (Aeronautical Automation College,CAUC,Tianjin 300300,China)
  • Received:2012-11-02 Revised:2013-01-05 Online:2013-12-11 Published:2013-12-12

摘要:

为快速准确排除飞机引气系统故障,引入CBR 方法进行故障诊断。将来自运营方的历史故障经验与生产方的专家知识相结合而构造案例库。首先设计了不同类型知识的表示方法袁然后重点研究了案例检索中的相似度,针对k-NN算法相似度作为参考的不足,提出了动态失效比的概念,并以此形成参考度,给出了计算模型。应用示例表明该案例库构造可准确定位故障,为高效的案例推理算法提供基础。

关键词: 飞机引气系统, 故障诊断, 案例库, 动态失效率, 参考度

Abstract:

In order to troubleshoot the aircraft pneumatic system's problem fast and accurately,CBR methodology is applied to the fault diagnosis and case base is made based on practical experience from airlines and manufacture experts. Firstly,different types of knowledge representation methods are proposed. Secondly,the similarity in case retrieval is discussed in details. Aiming at the disadvantages of k-NN algorithm similarity as a reference,the dynamic fault ratio is established and the reference degree is formed based on it. Experimental results show that the proposed case base could detect faults effectively,and it is a robust foundation of fault reasoning algorithms.

Key words: aircraft pneumatic system, fault diagnosis, case base, dynamic fault ratio, reference degree

中图分类号: 

Baidu
map