Expert knowledge modelling software design based on Signed Directed Graph with the application for PWR fault diagnosis

被引：1
|
作者：
Ma, Zhanguo [1 ,2 ]
Deng, Shiguang [3 ]
Zhou, Zhuoran [2 ]
Ai, Xin [2 ]
Zhang, Jing [3 ]
Liu, Yongkuo [2 ]
Peng, Minjun [2 ]
Cui, Jing [1 ]
机构：
[1] Harbin Univ Sci & Technol, Sch Automat, Harbin 150080, Peoples R China
[2] Harbin Engn Univ, Coll Nucl Sci & Technol, Fundamental Sci Nucl Safety & Simulat Technol Lab, Harbin 150001, Heilongjiang, Peoples R China
[3] CNNC China Nucl Power Engn Co Ltd, Beijing 100840, Peoples R China
来源：
ANNALS OF NUCLEAR ENERGY | 2024年 / 196卷
关键词：
Signed directed graph; Fault detection and diagnosis; Expert knowledge models; SDG; SAFETY;
D O I：
10.1016/j.anucene.2023.110206
中图分类号：
TL [原子能技术]; O571 [原子核物理学];
学科分类号：
0827 ; 082701 ;
摘要：
Online monitoring and Fault Diagnosis and Detection (FDD) can help the operator to enhance the situation awareness. The Signed Directed Graph (SDG) has the significant advantages that SDG-based FDD not only infers the incipient faults and reveals fault propagation paths but also comprehensively explains causes of failure. In this study, an expert knowledge modelling software is designed and developed based on SDG method. Firstly, the SDG-based process monitoring and FDD algorithms are derived by coupling the threshold method and the quality trend analysis method. Secondly, the expert knowledge modelling software is designed and developed not only considering the convenience of the engineer but also the effectiveness of the SDG-based algorithms. Finally, a Pressurized Water Reactor (PWR) is applied to demonstrate the SDG modelling and verify the SDG models. The case study demonstrates that the developed expert knowledge modelling software can effectively diagnose the incipient faults and infer variable impact as the fault propagation paths
引用
收藏
页数：11
相关论文
共 50 条
  • [1] Fault diagnosis method based on signed. directed graph
    Xia, T
    Zhang, BK
    Zhang, ZQ
    Wu, CG
    PROGRESS IN SAFETY SCIENCE AND TECHNOLOGY, VOL 4, PTS A and B, 2004, 4 : 2392 - 2399
  • [2] Design of sensor network based on the signed directed graph of the process for efficient fault diagnosis
    Bhushan, M
    Rengaswamy, R
    INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH, 2000, 39 (04) : 999 - 1019
  • [3] Fault diagnosis approach based on the integration of qualitative model and quantitative knowledge of signed directed graph
    Cao, WL
    Wang, BS
    Ma, LY
    Zhang, J
    Gao, JQ
    Proceedings of 2005 International Conference on Machine Learning and Cybernetics, Vols 1-9, 2005, : 2251 - 2256
  • [4] Study of fault diagnosis approach based on rules of deep knowledge representation of signed directed graph
    Cao, Wen-Liang
    Wang, Bing-Shu
    Ma, Liang-Yu
    Yan, Qin
    Hao, Wei
    Xin, Yufeng
    2005 IEEE International Conference on Industrial Technology - (ICIT), Vols 1 and 2, 2005, : 842 - 846
  • [5] Fault Diagnosis based on Signed Directed Graph and Support Vector Machine
    Han, Xiaoming
    Lv, Qing
    Xie, Gang
    Zheng, Jianxia
    FOURTH INTERNATIONAL CONFERENCE ON MACHINE VISION (ICMV 2011): MACHINE VISION, IMAGE PROCESSING, AND PATTERN ANALYSIS, 2012, 8349
  • [6] Research on fault diagnosis approach using quantitative knowledge of the node of signed directed graph
    School of Control Science and Engineering, North China Electric Power University, Baoding 071003, China
    不详
    Zhongguo Dianji Gongcheng Xuebao, 2006, 7 (67-71):
  • [7] Fault location algorithm based on the qualitative and quantitative knowledge of signed directed graph
    Zhang, Ji
    Cao, Wen-liang
    Wang, Bing-shu
    Cui, Ning
    2005 IEEE International Conference on Industrial Technology - (ICIT), Vols 1 and 2, 2005, : 1295 - 1298
  • [8] EVALUATION OF THE ACCURACY OF THE FAULT-DIAGNOSIS SYSTEM BASED ON THE SIGNED DIRECTED GRAPH
    TSUGE, Y
    MATSUYAMA, H
    KAGAKU KOGAKU RONBUNSHU, 1985, 11 (04) : 462 - 470
  • [9] Fault diagnosis based on fuzzy probability signed directed graph in complex system
    Zhu, Lin
    Chen, Jie
    Chen, Wen-Jie
    Deng, Fang
    Beijing Ligong Daxue Xuebao/Transaction of Beijing Institute of Technology, 2007, 27 (11): : 969 - 973
  • [10] ONLINE FAULT-DIAGNOSIS USING THE SIGNED DIRECTED GRAPH
    CHANG, CC
    YU, CC
    INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH, 1990, 29 (07) : 1290 - 1299
12345