Research of Expert System in Nuclear Power Plant

Abstract:

With the rising of the nuclear power plant accident, making the knowledge base of knowledge express difficultly, the inference efficiency of the device system is decreasing as well, but the complexity of nuclear power plant has led to the uncertainty of knowledge. In order to solve these problems, the credibility factor and uncertainty propagation algorithm of the network model is applied to the knowledge representation and inference of expert system, and using the CLIPS implements the fault reasoning. Experiments shows that use of credibility factor and uncertainty propagation algorithm of the network model can effectively solve the uncertainty information and structured knowledge representation in the event of a failure, and inference efficiency of nuclear power plant is improved.

• Periodical: Applied Mechanics and Materials (Volumes 409-410)
• Pages: 1569-1572
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.409-410.1569
• Online since: September 2013
• Authors: Xiang Wei Yan, Ying Feng Zheng, Can Yuan, Meng Qiang Duan
• Keywords: Credibility Factor, Expert System, Fault Diagnosis, Nuclear Power Plant (NPP), Uncertainty Propagation Algorithm

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