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Dynamic Case Based Reasoning in Fault Diagnosis and Prognosis

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3 Author(s)
Berenji, H. ; Intelligent Inference Syst. Corp., Moffett Field, CA ; Yan Wang ; Saxena, A.

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

Published in:

Fuzzy Systems, 2005. FUZZ '05. The 14th IEEE International Conference on

Date of Conference:

25-25 May 2005