武警总队应急车辆故障诊断系统研究  

Research on Fault Diagnosis System of Emergency Maintenance Vehicle for CAPF

作　　者：吕建新[1] 田杰[2] 张耀宗[3] 

机构地区：[1]武警工程学院装备运输系,陕西西安710086 [2]武警工程学院通信工程系,陕西西安710086 [3]武警工程学院研究生管理大队,陕西西安710086

出　　处：《武警工程学院学报》2010年第2期28-30,共3页Journal of Engineering College of Armed Police Force

摘　　要：将人工神经网络和基于案例推理技术结合用于车辆故障诊断系统中，构建了ANN与CBR结合模型，阐述了各子系统的基本功能及相互关系，并对关键技术进行了详细解释。实例诊断表明，ANN和CBR方法的结合有效地弥补了它们各自的缺陷，提高了应急条件下车辆的维修保障能力。This paper establishes a model of fault diagnosis based on artificial neural network and CBR which can be used in vehicle fault diagnosis system. The basic function and relationship among several subsystems as well as the key technology are described in details. Furthermore, Examples of data diagnosis indicate that the Combination of ANN and CBR makes up the disadvantages of ANN and CBR, enhancing the capability of vehicle maintenance and guarantee.

关 键 词：基于案例推理 人工神经网络 车辆 故障诊断 

分 类 号：TP183[自动化与计算机技术—控制理论与控制工程] TP391[自动化与计算机技术—控制科学与工程]