An expert system for engine fault diagnosis: development and application

被引:35
作者
Gelgele, HL [1 ]
Wang, KS [1 ]
机构
[1] NTNU, Dept Prod & Qual Engn, N-7034 Trondheim, Norway
关键词
artificial intelligence; fault diagnosis; KnowledgePro; expert engine diagnosis;
D O I
10.1023/A:1008888219539
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
The mass production and wider use of automobiles and the incorporation of complex electronic technologies all indicate that the control of faults should be given an integral part of engine design and usage. Today, artificial intelligence (AI) technology is widely suggested for systematic diagnosis of faults where the amount of well-defined diagnosis knowledge is vast and the sequence of steps required to identify the fault is very long. This article describes on an expert system application for automotive engines. A new prototype named EXEDS (expert engine diagnosis system) has been developed using KnowledgePro, an expert system development tool, and run on a PC. The purpose of the prototype is to assist auto mechanics in fault diagnosis of engines by providing systematic and step-by-step analysis of failure symptoms and offering maintenance or service advice. The result of this development is expected to introduce a systematic and intelligent method in engine diagnosis and maintenance environments.
引用
收藏
页码:539 / 545
页数:7
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