%0 Journal Article
%T Key technologies study and development for automobile fault diagnosis expert system<br>汽车故障诊断专家系统关键技术的研究与发展
%A ZHANG Li-li
%A CHU Jiang-wei
%A QIANG Tian-gang
%A HAN Da-ming
%A <br>张丽莉
%A 储江伟
%A 强添刚
%A 韩大明
%J 计算机应用研究
%D 2008
%I 
%X Expert system for automobile fault diagnosis is an intelligent system, and its key technologies are knowledge acquisition, knowledge representation and inference strategy. Based on large collection of papers which on abroad or on home, some resolved methods had been presented, including improving of traditional method such as automotive acquisition of fault rules, combined knowledge representation and inference method diversification, applying of new theory or new technology such as case-base expert system, fuzzy-base expert system, neural network-base expert system and action-base expert system and so on. And then put forward to that intellectualization, cyberization and integration were the future development direction of automobile fault diagnosis expert system.
%K automobile
%K fault diagnosis
%K expert system
%K key technology<br>汽车
%K 故障诊断
%K 专家系统
%K 关键技术
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=A9D9BE08CDC44144BE8B5685705D3AED&aid=EA0EFEB28575BBDCE960221F131A8C6A&yid=67289AFF6305E306&vid=C5154311167311FE&iid=B31275AF3241DB2D&sid=F4403DA1034A7215&eid=592C06DEDA153E98&journal_id=1001-3695&journal_name=计算机应用研究&referenced_num=0&reference_num=40