Title :
The application of a CBR MAS hierarchical model in fault diagnosis system
Author :
Chen Jun-jie ; Lu Ting-ting ; Gao Bao-lu ; Duan Jiang-li
Author_Institution :
Coll. of Comput. Sci. & Technol., Taiyuan Univ. of Technol., Taiyuan, China
Abstract :
Due to complexity and diversity of large rotating machinery and working conditions, timely and accurate fault diagnosis can not be guaranteed. The method and process of distributed intelligent fault diagnosis based on MAS(Multi-Agent System) are analyzed, and a hierarchical model which uses case based reasoning (CBR) method to carry out fault diagnosis in fault diagnosis expert system is proposed. Using the model, the system can quickly and accurately analyzes the cause of machinery fault, and provide reasonable and constructive decision-making advice.
Keywords :
case-based reasoning; fault diagnosis; machinery; multi-agent systems; production engineering computing; CBR MAS hierarchical model; case based reasoning; distributed intelligent fault diagnosis; multiagent system; rotating machinery; Monitoring; CBR; MAS; fault diagnosis; information fusion;
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.2010.5620772
