Title :
The application of CBR and grey correlation in fault diagnosis system
Author :
Chen, Jun-Jie ; Duan, Jiang-Ii ; Gao, Bao-Iu ; Lu, Ting-Tingr
Author_Institution :
Coll. of Comput. Sci. & Technol., Taiyuan Univ. of Technol., Taiyuan, China
Abstract :
In order to improve the traditional mechanical fault diagnosis expert system, case-based reasoning (CBR) is introduced in this paper for fault diagnosis and a CBR fault diagnosis model is established. In the process of case retrieval, an improved grey correlation model is used to calculate similarity between cases. This model can accurately retrieve similar cases and improve the speed of case retrieval. Finally, a bearing fault diagnosis expert system is established with the method proposed in this paper.
Keywords :
case-based reasoning; correlation methods; expert systems; fault diagnosis; grey systems; machine bearings; mechanical engineering computing; CBR fault diagnosis model; case retrieval; case-based reasoning; grey correlation model; mechanical fault diagnosis expert system; Expert systems; Industries; CBR; expert system; fault diagnosis; grey correlation;
Conference_Titel :
Computer Application and System Modeling (ICCASM), 2010 International Conference on
Conference_Location :
Taiyuan
Print_ISBN :
978-1-4244-7235-2
Electronic_ISBN :
978-1-4244-7237-6
DOI :
10.1109/ICCASM.2010.5619421
