Case-Based Reasoning for Fault Diagnosis and Prognosis

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.