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《Ordnace Industry Automation》 2002-02
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Research and Development of Intelligent System for Fault Diagnosis

JIANG Yu, CHEN Xun, YANG Xue (College of Electromechanical Engineering and Automation, National University of Defence Technology, Changsha 410073, China)  
Based on a lot of documents and references, the actual state of the research on intelligent diagnosis system is reviewed in and out of abroad, the advantages and limitation of all sorts of intelligent fault diagnosis methods are analyzed. The methods include intelligent diagnosis methods based on rule, knowledge model, nerval network, case and action. Aiming at intelligent diagnosis based on nerval network, the intelligent fault diagnosis with nerval network in model identification, fault forecast of nerval network and the expert system for the intelligent fault diagnosis with nerval network. In the end, the trend for the development of the intelligent fault diagnosis, the integrated intelligent fault diagnosis system is presented. The intelligent fault diagnosis from single diagnosis to remote diagnosis of fully distributed system is introduced.
【CateGory Index】: TP277
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