ZHANG He-lin 1, HUANG Wei-gang 2, LIU Xiao-bo 1, ZHANG Qin-shun 1, DAI Zheng-xi 1 (1 School of Mechanical and Power Engineering, Shanghai Jiaotong University, Shanghai 200030, China; 2 Office of Safety and License, Guangdong Daya Bay Nuclear Power Station, Shenzhen 518124, China). Fault Diagnosis Expert System for Nuclear Power Station Based on Neural Network and Probabilistic Risk Analysis[J]. Atomic Energy Science and Technology, 2002, 36(6): 494-494. DOI: 10.7538/yzk.2002.36.06.0494
Citation: ZHANG He-lin 1, HUANG Wei-gang 2, LIU Xiao-bo 1, ZHANG Qin-shun 1, DAI Zheng-xi 1 (1 School of Mechanical and Power Engineering, Shanghai Jiaotong University, Shanghai 200030, China; 2 Office of Safety and License, Guangdong Daya Bay Nuclear Power Station, Shenzhen 518124, China). Fault Diagnosis Expert System for Nuclear Power Station Based on Neural Network and Probabilistic Risk Analysis[J]. Atomic Energy Science and Technology, 2002, 36(6): 494-494. DOI: 10.7538/yzk.2002.36.06.0494
  • Fault diagnosis model of nuclear power station, which is based on neural network and probabilistic risk analysis (PSA) theory, is studied. By utilizing sort of parameters, a detailed corresponding network program is developed. Furthermore, the work shows good result of application of PSA to filtrate and analyze the diagnosis objects.
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