Title :
Health condition-based maintenance decision intelligent reasoning method
Author :
Li, Sha ; Lv, Chuan ; Guo, Zhiqi ; Wang, Meihui
Author_Institution :
Sch. of Reliability & Syst. Eng., Beihang Univ., Beijing, China
Abstract :
A method integrates case-based reasoning (CBR) with rule-based reasoning (RBR) is developed in this paper. Based on these two artificial intelligence techniques, it is used in the design of maintenance decision system. According to the characteristics and requirements of equipments´ health condition, the structure and workflow of health condition-based maintenance decision intelligent reasoning method is proposed, then a system was explored and deliberated.
Keywords :
case-based reasoning; condition monitoring; knowledge based systems; maintenance engineering; mechanical engineering computing; CBR; RBR; artificial intelligence techniques; case-based reasoning; equipment health condition; health condition-based maintenance decision intelligent reasoning method; maintenance decision system design; rule-based reasoning; Biological system modeling; Cognition; Educational institutions; Knowledge based systems; Maintenance engineering; Predictive models; case-based reasoning; intelligent reasoning; maintenance decision; rule-based reasoning;
Conference_Titel :
Quality, Reliability, Risk, Maintenance, and Safety Engineering (ICQR2MSE), 2012 International Conference on
Conference_Location :
Chengdu
Print_ISBN :
978-1-4673-0786-4
DOI :
10.1109/ICQR2MSE.2012.6246263
