| Fault Diagnosing System of Steam Generator for Nuclear Power Plant Based on Fuzzy Neural Networks |
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| 引用本文： | FU Ming-Yu,BIAN Xin-Qian,SHI JiCollege of Power and Nuclear Engineering,Harbin Engineering University,Harbin 150001,China. Fault Diagnosing System of Steam Generator for Nuclear Power Plant Based on Fuzzy Neural Networks[J]. 船舶与海洋工程学报, 2002, 1(1): 41-46. DOI: 10.1007/BF02921415 |
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| 作者姓名： | FU Ming-Yu BIAN Xin-Qian SHI JiCollege of Power and Nuclear Engineering Harbin Engineering University Harbin 150001 China |
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| 作者单位： | FU Ming-Yu，BIAN Xin-Qian，SHI JiCollege of Power and Nuclear Engineering，Harbin Engineering University，Harbin 150001，China |
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| 摘 要： | 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.
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Fault diagnosing system of steam generator for nuclear power plant based on fuzzy neural networks |
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| Fu Ming-Yu,Bian Xin-Qian,Shi Ji. Fault diagnosing system of steam generator for nuclear power plant based on fuzzy neural networks[J]. Journal of Marine Science and Application, 2002, 1(1): 41-46. DOI: 10.1007/BF02921415 |
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| Authors: | Fu Ming-Yu Bian Xin-Qian Shi Ji |
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| Affiliation: | (1) College of Power and Nuclear Engineering, Harbin Engineering University, 150001 Harbin, China |
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| 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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| Keywords: | neural network steam generator fuzzy fault diagnosing |
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