Application on Fuzzy Neural Network Expert System in Fault Diagnosis

doi:10.3969/j.issn.1674－0696.2012.03.26

Abstract

Abstract: According to the fuzziness and complexity of variety of vehicle electric control engine malfunctions，Fuzzy-neural network-expert system，combined the characters of fuzzy logic，neural network and expert system，was set up to complete electric control engine fault diagnosis.Visual Basic 6.0，MATLAB 7.0 and Access database were adopted to design system frame，analysis and research all system flow.Research turns out this diagnosis system diagnose fault of electric-control engine fast and accurately．

Key words: electric control engine, fuzzy-neural network, expert system, fault diagnosis

摘要： 针对汽车电控发动机故障多，具有模糊性和复杂性的事实，结合模糊逻辑、神经网络、专家系统各自的特点，建立了基于模糊神经网络专家系统的发动机的故障诊断系统;采用面向对象的VisualBasic6．0、MATLAB7．0和Access 数据库等软件来实现系统结构，对系统的整个流程，尤其是关键点和重难点进行了研究。结果表明:该诊断系统能对电控发动机故障进行快速准确诊断。

关键词: 电控发动机, 模糊神经网络, 专家系统, 故障诊断

CLC Number:

TP183

Wang Lijun. Application on Fuzzy Neural Network Expert System in Fault Diagnosis[J]. Journal of Chongqing Jiaotong University(Natural Science), 2012, 31(3): 469-472.

王礼军. 模糊神经网络专家系统在故障诊断中的应用[J]. 重庆交通大学学报（自然科学版）, 2012, 31(3): 469-472.

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