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Fault Diagnosing System of Steam Generator for Nuclear Power Plant Based on Fuzzy Neural Networks
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作者 ming-yu fu Xin-Qian Bian Ji Shi 《Journal of Marine Science and Application》 2002年第1期41-46,共6页
All kinds of reasons are analysed in theory and a fault repository combined with local expert experiences is establishedaccording to the structure and the operation characteristic of steam generator in this paper. At ... All kinds of reasons are analysed in theory and a fault repository combined with local expert experiences is establishedaccording to the structure and the operation characteristic of steam generator in this paper. At the same time, Kohonen algo-rithm is used for fault diagnoses system based on fuzzy neural networks. Fuzzy arithmetic is inducted into neural networks tosolve uncertain diagnosis induced by uncertain knowledge. According to its self-association in the course of default diagnosis. thesystem is provided with non-supervise, self-organizing, self-learning, and has strong cluster ability and fast cluster velocity. 展开更多
关键词 NEURAL NETWORK STEAM GENERATOR FUZZY FAULT diagnosing
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