A Kind of Fuzzy Causal Diagnosis Method   

一种模糊因果故障诊断方法(英文)

作　　者：王庆林[1] 卢冬[1] 李宁[1] 陈锦娣[1] 

机构地区：[1]北京理工大学自动控制系,北京100081

出　　处：《Journal of Beijing Institute of Technology》1999年第3期264-269,共6页北京理工大学学报（英文版）

基　　金：中国电子科学院基金

摘　　要：Aim To improve the causal diagnosis method presented by Bandekar and propose a new method of finding the root fault order according to the fault possibility by means of numerical calculation. Methods Based on the causal graph, by utilization of fuzzified threshold value and fuzzy discrimination matrix, a kind of fuzzy causal diagnosis method was given and the fault possibility of each elements in the root fault candidate set (RFCS) was obtained. Results and Conclusion The order of each element in the RFCS can be obtained by the fault possibility, which makes the location of fault much easier. The diagnosis speed of this method is quite high, and by means of the fuzzified threshold value and fuzzy discrimination matrix, the result is more robust to noises and bad parameter's choice.目的　对 Ｂａｎｄｅｋａｒ 提出的一种因果故障诊断方法进行改进，提出一种能够利用故障概率、对根故障集进行排序的方法． 方法　在因果关系图基础上，利用模糊阈值和模糊评判矩阵，提出了一种可给出根故障集中各元素故障概率的模糊诊断方法． 结果与结论　根据根故障集中各元素的故障概率，可很方便地对故障进行定位，同时该方法具有较快的诊断速度． 由于使用了模糊阈值和模糊评判矩阵，还使诊断结果对噪声及参数选择更具鲁棒性．

关 键 词：fault diagnosis causal graph threshold value fuzzy discrimination 

分 类 号：TP206.3[自动化与计算机技术—检测技术与自动化装置]