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

fYear

2012

fDate

15-18 June 2012

Firstpage

405

Lastpage

408

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Quality, Reliability, Risk, Maintenance, and Safety Engineering (ICQR2MSE), 2012 International Conference on

Conference_Location

Chengdu

Print_ISBN

978-1-4673-0786-4

Type

conf

DOI

10.1109/ICQR2MSE.2012.6246263

Filename

6246263