基于CBR的飞机引气系统故障诊断案例库构造

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

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,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。

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.