Application of fuzzy neural network to the nuclear power plant in process fault diagnosis |
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Authors: | Liu Yong-Kuo Xia Hong Xie Chun-li |
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Institution: | (1) School of Power and Nuclear Energy Engineering, Harbin Engineering University, 150001 Harbin, China;(2) College of Traffic and Transportation Engineering, Northeast Forestry University, 150040 Harbin, China |
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Abstract: | The fuzzy logic and neural networks are combined in this paper, setting up the fuzzy neural network (FNN); meanwhile, the
distinct differences and connections between the fuzzy logic and neural network are compared. Furthermore, the algorithm and
structure of the FNN are introduced. In order to diagnose the faults of nuclear power plant, the FNN is applied to the nuclear
power plant, and the intelligence fault diagnostic system of the nuclear power plant is built based on the FNN. The fault
symptoms and the possibility of the inverted U-tube break accident of steam generator are discussed. In order to test the
system’s validity, the inverted U-tube break accident of steam generator is used as an example and many simulation experiments
are performed. The test result shows that the FNN can identify the fault.
Supported by Basic Research Foundation by Commission of Science Technology and Industry for National Defense (No. 4010202010203) |
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Keywords: | neural networks fuzzy logic fuzzy neural network (FNN) inverted U-tube nuclear power plant |
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