Title :
Dynamic Case Based Reasoning in Fault Diagnosis and Prognosis
Author :
Berenji, Hamid ; Wang, Yan ; Saxena, Abhi
Author_Institution :
Intelligent Inference Syst. Corp., Moffett Field, CA
Abstract :
Dynamic case based reasoning (DCBR) is a powerful technique for fault diagnosis and prognosis. DCBR allows the accumulation of experience from inclusion of the new cases and therefore accommodates learning. In this paper, we discuss DCBR and develop a methodology for using it in a dynamic model of a chiller system
Keywords :
case-based reasoning; fault location; fuzzy set theory; learning (artificial intelligence); radial basis function networks; refrigeration; chiller system; dynamic case based reasoning; dynamic model; fault diagnosis; fault prognosis; learning; radial based functions; Computer aided software engineering; Fault detection; Fault diagnosis; Fuzzy systems; Information retrieval; Intelligent systems; Knowledge acquisition; Libraries; NASA; Space technology;
Conference_Titel :
Fuzzy Systems, 2005. FUZZ '05. The 14th IEEE International Conference on
Conference_Location :
Reno, NV
Print_ISBN :
0-7803-9159-4
DOI :
10.1109/FUZZY.2005.1452504
