Title :
Case-Based Reasoning for Fault Diagnosis and Prognosis
Author :
Berenji, Hamid R. ; Wang, Yan
Author_Institution :
Intelligent Inference Syst. Corp., Moffett Field
Abstract :
Case-based reasoning (CBR) is a mature technology used in help-desk customer services. To implement this technology to the diagnosis and prognosis of dynamic systems, many important factors must be considered. This paper reports on our development of a Matlab system for multi-agent fault diagnosis for predictive health monitoring. In particular, we apply this technology to the SIMULINK simulation of a dynamic chiller system. Our system can detect single component faults and also multiple component faults in the system and advise on how to fix the problem using case based reasoning.
Keywords :
case-based reasoning; customer services; fault diagnosis; mathematics computing; multi-agent systems; CBR; Matlab system; SIMULINK simulation; case-based reasoning; dynamic chiller system; fault prognosis; help-desk customer services; multiagent fault diagnosis; predictive health monitoring; Competitive intelligence; Computational intelligence; Customer service; Fault diagnosis; Humans; Intelligent systems; Machine learning; Monitoring; NASA; Problem-solving;
Conference_Titel :
Fuzzy Systems, 2006 IEEE International Conference on
Conference_Location :
Vancouver, BC
Print_ISBN :
0-7803-9488-7
DOI :
10.1109/FUZZY.2006.1681880
