基于案例推理和神经网络的车辆故障诊断研究  

Research on Fault Diagnosis of Vehicle Maintenance Based on Neural Network and CBR

作　　者：田杰[1] 吕建新[1] 

机构地区：[1]武警工程学院通信工程系,西安710086

出　　处：《城市公共交通》2010年第5期46-48,51,共4页Urban Public Transport

摘　　要：将人工神经网络和基于案例的推理技术相结合，应用于车辆故障诊断系统中，建立了应急故障诊断模型；基于此模型，研究了车辆维修案例的表示方法并设计了CB神经网络的学习规则，通过系统的仿真训练和仿真诊断，该模型有效地提高了故障诊断的效能，满足车辆应急故障诊断的需求。This paper establishes a model of fault diagnosis based on artificial neural network and CBR, conducts an investigation in knowledge representation and puts forward representation rules of case representation. Finally, author has carried on system simulation. As a result, the system has proved high diagnosis efficiency and satisfied the demands of vehicle emergency fault diagnosis.

关 键 词：应急故障诊断 基于案例推理 人工神经网络 规范化 

分 类 号：TP183[自动化与计算机技术—控制理论与控制工程]