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基于案例推理和神经网络的车辆故障诊断研究
引用本文:田杰,吕建新. 基于案例推理和神经网络的车辆故障诊断研究[J]. 城市公共交通, 2010, 0(5): 46-48,51
作者姓名:田杰  吕建新
作者单位:武警工程学院通信工程系,西安,710086;武警工程学院通信工程系,西安,710086
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。

关 键 词:应急故障诊断  基于案例推理  人工神经网络  规范化

Research on Fault Diagnosis of Vehicle Maintenance Based on Neural Network and CBR
TIAN Jie,LU Jianxin. Research on Fault Diagnosis of Vehicle Maintenance Based on Neural Network and CBR[J]. Urban Public Transport, 2010, 0(5): 46-48,51
Authors:TIAN Jie  LU Jianxin
Affiliation:TIAN Jie LU Jianxin(Engineering College of Armed Police Force)
Abstract:
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.
Keywords:Emergency Fault Diagnosis  Case-based Reasoning  Artificial Neural Network  Standardization
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