Study on Design of Fault Diagnosis System for Nuclear Power Plants

被引：0
|
作者：
Wang T. [1 ]
Yu R. [1 ]
Liu X. [1 ]
机构：
[1] Navy University of Engineering, Wuhan
来源：
| 2018年 / Atomic Energy Press卷 / 39期
关键词：
Emergency disposal; Expert system; Fault diagnosis; Human factor; Nuclear power plant;
D O I：
10.13832/j.jnpe.2018.02.0176
中图分类号：
学科分类号：
摘要：
To improve the operation safety and reliability of nuclear power plants and reduce human error, the design of operation fault diagnosis system based on the theory of expert system and human factor engineering is researched in this paper. Firstly, the demand of the system functions is analyzed, and the definition of the key security parameters and their classification method is brought up. The safety state supervisory function module is briefly designed in order to facilitate the operator to monitor the safety state of the nuclear power plant from macroscopic to detail. Secondly, to maximize the speed and accuracy of the reasoning process and keep in line with the operator's way of thought and experience, the structure of the operation fault diagnosis expert system is designed, as well as its database and knowledge base, along with a new method of reasoning that combines the hierarchical reasoning method with forward and backward reasoning method. © 2018, Editorial Board of Journal of Nuclear Power Engineering. All right reserved.
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页码：176 / 179
页数：3
相关论文
共 7 条
  • [1] Nelson W.R., Reactor: An expert system for diagnosis and treatment of nuclear reactor accidents, Proc.2nd Nat. Conf. on Artificial Intelligence, 46, 3-4, pp. 296-301, (1982)
  • [2] Bjorlo T.J., Berg O., Use of computer-based operator support systems in control room upgrades and new control room designs for nuclear power palant, Proceedings NPIC& HMIT, pp. 1397-1404, (1996)
  • [3] Choy K.L., A RFID case based sample management system for fasion product development, Engineering Applications of Artificial Intelligence, 22, 6, pp. 882-896, (2009)
  • [4] Drivalou S., Marmaras N., Supporting skill-rule and knowledge-based behaviour through an ecological interface: An industry-scale application, International Journal of Industrial Ergonomics, 39, pp. 947-965, (2009)
  • [5] Liao S.H., Expert system methodologies and applications: A decade review from 1995 to 2004, Expert Systems with Applications, 28, 1, pp. 93-103, (2005)
  • [6] Soo C.S., Sig K.K., Et al., Development of an on-line fuzzy expert system for integrated alarm processing in nuclear power plants, IEEE Transactions on Nuclear Science, 42, 4, pp. 92-99, (1995)
  • [7] Roverso D., Intelligent systems integration: Guiding principles, examples and lessons learned, Progress in Nuclear Energy, 46, 3-4, pp. 190-205, (2005)
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