采用CBR的飞机引气系统故障诊断研究  

Research of CBR in fault diagnosis of aircraft pneumatic system

作　　者：何永勃[1] 王丽哲[1] 杨燕辉[1] 

机构地区：[1]中国民航大学航空自动化学院,天津300300

出　　处：《现代制造工程》2013年第3期110-114,共5页Modern Manufacturing Engineering

基　　金：中央高校基本科研业务基金项目(ZXH2011B002)

摘　　要：飞机引气系统结构复杂,引入基于案例推理(CBR)方法以实现故障诊断。在分析故障诊断体系结构的基础上,研究诊断规则的提取、案例表示,以及案例学习等关键技术。重点研究案例的检索,首先依据引气系统的结构建立层次检索模型,以缩小候选案例范围,进而提出动态失效率与参考度的概念,并以此计算参考案例,有效地解决了引气系统故障的季节性问题。最后构建了故障诊断软件原型,并给出应用实例。Because of its complicated structure of aircraft pneumatic system, the Case-Based Reasoning（CBR） methodology was applied to diagnose fault. Based on analysis of the fault diagnosis architecture ,the key techniques, including the extraction of diag-nosis rules, case representation, and case revise, were investigated. The case retrieval was discussed in detail. Firstly, hierarchy re- trieval modal was made based on the construction of pneumatic system in order to reduce the similarity case. Secondly, the dynam- ic fault ratio and the reference degree were established and the similarity case were calculated based on them. The proposed meth-od could solve the problem of seasonal characteristics of pneumatic system＇ s fault effectively. Lastly, the prototype of fault diag-nose system was developed and an application example was given.

关 键 词：飞机引气系统 故障诊断 基于案例推理 层次检索 

分 类 号：TP182[自动化与计算机技术—控制理论与控制工程]