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Indexed by:会议论文

Date of Publication:2007-08-05

Included Journals:EI、CPCI-S、Scopus

Page Number:3740-3744

Key Words:fault diagnosis; fuzzy inference; dynamic modeling

Abstract:In order to obtain the diagnosis parameters of intelligent appliance in different running stages, the relation between process status and the temperature change rate is analyzed. A new method of dynamic modeling for fault diagnosis is put forward. For appliance fault with uncertainty, the way of fuzzy inference is applied for actualizing inference engine of fault diagnosis. Experimental results prove that the accuracy is about a percentage of 76.