Title :
Research on CBR-Based Hybrid Intelligent System´s Application in Equipment Intelligent Maintenance
Author :
Yao, Chun-Jiang ; Chen, Xiao-Hu ; Wang, Xu-Ping ; Zhou, Yong-Tao
Author_Institution :
501 Sect., Xi´´an High-Tech Inst., Xi´´an, China
Abstract :
The characteristics of complex equipment maintenance is analyzed. Then maintenance information resources and the demands of complex equipment intelligent maintenance are also analyzed. On this basis of the analysis, it designs equipment intelligent maintenance system based on CBR hybrid intelligent system, and analyzes the system´s three tiers structures, which are data tier, service logic tier and performance tier. Also, the technologic designs are put forward, and the case knowledge representation and system´s case retrieval are researched. Last the system is applied in one actual weapon equipment.
Keywords :
case-based reasoning; data mining; information retrieval; knowledge representation; maintenance engineering; CBR based hybrid intelligent system; actual weapon equipment; case knowledge representation; case-based research; data tier; equipment intelligent maintenance system; performance tier; service logic tier; system case retrieval; Artificial intelligence; Decision making; Hybrid intelligent systems; Intelligent structures; Knowledge management; Knowledge representation; Logic design; Maintenance; Performance analysis; Personnel; Cased-Based Reasoning; Data Mining; Hybrid Intelligent System;
Conference_Titel :
Intelligent Computation Technology and Automation, 2009. ICICTA '09. Second International Conference on
Conference_Location :
Changsha, Hunan
Print_ISBN :
978-0-7695-3804-4
DOI :
10.1109/ICICTA.2009.117
