基于模糊故障树的汽车故障诊断系统研究

Research on Automobile Fault Diagnosis System Based on Fuzzy Fault Tree

将汽车故障的各种类型与导致故障发生的原因进行分类与总结,建立故障诊断的知识库,研究了模糊故障树的建立方法以及常用符号的使用方法,以电机机械故障为例说明了模糊故障树的建立,逻辑符号的使用使得模糊故障树之间层次关系鲜明。以该模糊故障树分析方法为基础设计了基于模糊故障树的汽车故障诊断系统结构,该系统的设计提高了故障诊断的准确率,为工作人员快速定位故障位置提供了条件,提高了汽车的使用寿命。

The types of automotive faults and the causes of faults was classified and summarized to establish a knowledge base for fault diagnosis.The method to establish fuzzy fault trees and the common symbols in it were studied and the mechanical faults was taken as an example to illustrate the establishment process of the fuzzy faults.The use of logical symbols made the hierarchical relationship between fuzzy fault trees clear.The fault diagnosis system based on fuzzy fault tree was designed to improve the accuracy of fault diagnosis and guarantee conditions for the worker to quickly locate the fault,which has improved the life of the car.