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Research on Fuzzi Nerve Network Based Fault Diagnosis Systems for Condensers

Wang Jian, Ni Wei dou Wang Jian (Beijing, Qinghua University), Ni Wei dou.  
Abstract The paper analyzes theoretically, according to structural and operational features of condenser installations, the different factors that may cause its vacuum to drop, and reports on the creation of a fault expertise bank established with the insight and experience of on site engineers. Simultaneously a fault diagnosis system based on the principles of fuzzi nerve network models has been built, which has been used to diagnose faults occuring in condensers. This system is composed of an inspection absent self instruction network and fuzzi calculation. It can not only discriminate faults for which it has been, but also such for which it hasn't been trained. It has a strong grouping capability, works quickly and is therefore suitable for fault diagnoses of complicated systems.
【Fund】: 国家攀登B项目资助
【CateGory Index】: TK26
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