Health diagnosis of nuclear power plant

被引:4
|
作者
Xue, Wangyu [1 ]
Li, Xiu [2 ]
Huang, Biqing [3 ]
机构
[1] Tsinghua Univ, Beijing, Peoples R China
[2] Tsinghua Univ, Tsinghua Shenzhen Int Grad Sch, Div Informat Sci, Shenzhen 518055, Peoples R China
[3] Tsinghua Univ, Beijing Natl Res Ctr Informat Sci & Technol, Dept Automat, Beijing 100084, Peoples R China
来源
基金
国家重点研发计划;
关键词
Nuclear power plant; AHP; fuzzy comprehensive evaluation method; partial failure; health status diagnosis;
D O I
10.1177/1729881419880654
中图分类号
TP24 [机器人技术];
学科分类号
080202 ; 1405 ;
摘要
At present, nuclear power plant is developing rapidly, and its application has been involved in many aspects including life, military, industry and many other important fields, bringing benefits to people's life. However, the nuclear power plant has a relatively special structure. Once a safety accident occurs, the consequences will be unimaginable, and the cost of its operation and maintenance will be relatively high. Therefore, how to effectively diagnose the health status of the nuclear power plant is an urgent problem to be solved. On the above-mentioned research background, we need to study nuclear power plant health diagnosis method. Considering the characteristic of the nuclear power plant system and special failure mode, both the safety and economy, a health condition diagnosis method based on analytic hierarchy process and fuzzy comprehensive evaluation method is proposed for the structural characteristics and functional characteristics of nuclear power plants. According to the special failure mode and complex system structure of nuclear power plant, the evaluation index system based on failure mode is constructed by laying the system using the hierarchical analysis method, and the system is scored by fuzzy comprehensive evaluation method. The health status makes a coarse-grained diagnosis and provides a reference for the development of the operation and maintenance strategy.
引用
收藏
页数:8
相关论文
共 50 条
  • [1] NUCLEAR-POWER-PLANT DIAGNOSIS
    GUARRO, S
    ANNALS OF NUCLEAR ENERGY, 1987, 14 (06) : 325 - 325
  • [2] PUBLIC HEALTH EVALUATION OF A NUCLEAR POWER PLANT
    WEAVER, CL
    BERNHARD.DE
    STIGALL, GE
    LEARY, AG
    HEALTH PHYSICS, 1965, 11 (08): : 811 - +
  • [3] Diagnosis of Medium Voltage Cables for Nuclear Power Plant
    Ha, Che-Wung
    Lee, Do Hwan
    JOURNAL OF ELECTRICAL ENGINEERING & TECHNOLOGY, 2014, 9 (04) : 1369 - 1374
  • [4] Design of comprehensive diagnosis system in nuclear power plant
    Li, Wei
    Peng, Min-jun
    Yang, Ming
    Xia, Geng-lei
    Wang, Hang
    Jiang, Nan
    Ma, Zhan-guo
    ANNALS OF NUCLEAR ENERGY, 2017, 109 : 92 - 102
  • [5] An intelligent diagnosis model of accidents in nuclear power plant
    Liu, Yanqi
    Zhang, Li
    Xu, Zhenghua
    Liu, Xueyang
    JOURNAL OF INTELLIGENT & FUZZY SYSTEMS, 2021, 41 (03) : 4287 - 4294
  • [6] HEALTH PHYSICIST AND NUCLEAR-POWER PLANT DESIGN
    ODOR, DL
    HEALTH PHYSICS, 1975, 29 (05): : 799 - 801
  • [7] HEALTH PHYSICIST AND NUCLEAR-POWER PLANT DESIGN
    ODOR, DL
    HEALTH PHYSICS, 1974, 27 (06): : 638 - 638
  • [8] Research on fault diagnosis with SDG method for nuclear power plant
    Liu, Yong-Kuo
    Liu, Zhen
    Wu, Xiao-Tian
    Yuanzineng Kexue Jishu/Atomic Energy Science and Technology, 2014, 48 (09): : 1646 - 1653
  • [9] Unsupervised Clustering for Fault Diagnosis in Nuclear Power Plant Components
    Piero Baraldi
    Francesco Di Maio
    Enrico Zio
    International Journal of Computational Intelligence Systems, 2013, 6 : 764 - 777
  • [10] Unsupervised Clustering for Fault Diagnosis in Nuclear Power Plant Components
    Baraldi, Piero
    Di Maio, Francesco
    Zio, Enrico
    INTERNATIONAL JOURNAL OF COMPUTATIONAL INTELLIGENCE SYSTEMS, 2013, 6 (04) : 764 - 777