Abstract
All kinds of reasons are analysed in theory and a fault repository combined with local expert experiences is established according to the structure and the operation characteristic of steam generator in this paper. At the same time, Kohonen algorithm is used for fault diagnoses system based on fuzzy neural networks. Fuzzy arithmetic is inducted into neural networks to solve uncertain diagnosis induced by uncertain knowledge. According to its self-association in the course of default diagnosis, the system is provided with non-supervise, self-organizing, self-learning, and has strong cluster ability and fast cluster velocity.
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Fu, MY., Bian, XQ. & Shi, J. Fault diagnosing system of steam generator for nuclear power plant based on fuzzy neural networks. J. Marine. Sci. Appl. 1, 41–46 (2002). https://doi.org/10.1007/BF02921415
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DOI: https://doi.org/10.1007/BF02921415