Title :
Design of an Efficient Intelligent Instrument Fault Diagnosis Expert System
Author :
Yushu Lai ; Xunbo Li ; Yan Xiong ; Ping´an Du
Author_Institution :
School of Mechatronics Engineering, University of Electronic Science and Technology of China, Chengdu, Sichuan Province, 610054, China. E-mail: laiyushu@sohu.com, School of Physical and Electronic, Chongqing Three Gorges University, Chongqing, 404000, Chi
Abstract :
An efficient approach is proposed to develop the efficient expert system for intelligent instrument fault diagnosis. According to the characteristics of intelligent instrument faults, the hybrid inference method combined with the rule-based reasoning and the case-based reasoning is adopted. In the rule-based reasoning, a hierarchical search method is proposed, and the diagnostic priority of each rule in a specified search level is determined based on a fuzzy multi-attribute group decision making method. According to such an inference strategy, the knowledge base in this expert system is optimally designed in SQL Server database technology, and an efficient expert system for intelligent instrument fault diagnosis is developed in VS. Net. In actual use, the expert system shows higher diagnosis efficiency than its first version.
Keywords :
Computational intelligence; Decision making; Design engineering; Diagnostic expert systems; Electronic mail; Fault diagnosis; Hybrid intelligent systems; Instruments; Optical design; Systems engineering and theory; fault diagnosis expert system; fuzzy multi-attribute group decision making; hybrid inference; intelligent instrument; multiple hierarchical diagnosis;
Conference_Titel :
Computational Engineering in Systems Applications, IMACS Multiconference on
Conference_Location :
Beijing, China
Print_ISBN :
7-302-13922-9
Electronic_ISBN :
7-900718-14-1
DOI :
10.1109/CESA.2006.313597
