摘要
以奇瑞汽车故障诊断为应用背景,研究并开发了一个基于案例推理的汽车故障诊断系统原型,以实现对汽车故障的智能诊断。系统依据故障的特征属性和内容将汽车故障案例进行分类,进而根据最近邻算法对某一种类的案例集进行检索,最后构建了软件原型系统。通过对汽车故障样本案例进行仿真测试,表明了设计思想是合理的,实现方法是有效的。
Aiming at developing the Qirui car fault diagnosis system, this paper proposed a prototype of system to solve the problem encountered in intelligent car fault diagnosis on the basis of CBR ( case-based reasoning). Classified the car fault Case as case sets which was used for further research with k-nearest algorithm by characteristic and detail. At last finished the prototype of system. And the emulation test to the software with car fault cases in field proves the reasonability of the design and the validity of the implementation.
出处
《计算机应用研究》
CSCD
北大核心
2009年第10期3846-3848,共3页
Application Research of Computers
基金
国家"863"计划资助项目(2007AA04Z116)
国家自然科学基金资助项目(70871033)