Study on Safety Risk of Railway Vehicle Hydrogen Refueling Station Based on T-S Fuzzy Fault Tree and Bayesian Network

被引:0
|
作者
Shi, Lei [1 ]
Gao, Yang [1 ]
Wang, Jian [1 ,2 ]
Sun, Shijie [1 ]
Chen, Limei [1 ]
Xiang, Weiran [1 ]
机构
[1] CRRC Changchun Railway Vehicles Co Ltd, Changke Rd 2001, Changchun, Jilin, Peoples R China
[2] Cent South Univ, Lu Shan Nan Rd 932, Changsha, Hunan, Peoples R China
来源
PROCEEDINGS OF THE 10TH HYDROGEN TECHNOLOGY CONVENTION, VOL 1, WHTC 2023 | 2024年 / 393卷
关键词
Railway vehicle hydrogen refueling station; T-S fuzzy fault tree; Bayesian network; Safety risk;
D O I
10.1007/978-981-99-8631-6_14
中图分类号
O69 [应用化学];
学科分类号
081704 ;
摘要
According to the requirements of operation safety in railway vehicle hydrogen refueling station, the risk factors affecting the operation safety were selected, the calculation formula of evaluation index was derived, and the Bayesian network model based on T-S fuzzy fault tree was constructed. The triangular membership function, the fuzzy subset of failure probability and the posterior probability formula were used to verify the availability of the safety risk assessment method.
引用
收藏
页码:122 / 131
页数:10
相关论文
共 50 条
  • [1] Fuzzy reliability assessment method based on T-S fault tree and Bayesian network
    Yao, Chengyu
    Chen, Dongning
    Wang, Bin
    Jixie Gongcheng Xuebao/Journal of Mechanical Engineering, 2014, 50 (02): : 193 - 201
  • [2] Reliability analysis of nuclear safety-class DCS based on T-S fuzzy fault tree and Bayesian network
    Zhang, Xu
    Deng, Zhiguang
    Jian, Yifan
    Huang, Qichang
    Peng, Hao
    Ma, Quan
    NUCLEAR ENGINEERING AND TECHNOLOGY, 2023, 55 (05) : 1901 - 1910
  • [3] Evaluation of Tunnel Collapse Susceptibility Based on T-S Fuzzy Fault Tree and Bayesian Network
    Chen W.
    Wang H.
    Zhang G.
    Wang C.
    Zhong G.
    Shanghai Jiaotong Daxue Xuebao/Journal of Shanghai Jiaotong University, 2020, 54 (08): : 820 - 830
  • [4] Comprehensive lifecycle safety risk assessment for construction robotics using T-S fault tree analysis and Bayesian network
    Wang, Liying
    Huang, Yuecheng
    Wang, Yao
    Gu, Botao
    Li, Boning
    Fang, Dongping
    AUTOMATION IN CONSTRUCTION, 2025, 172
  • [5] A Fuzzy Bayesian Network Based on Fault Tree for Vaccine Safety Risks Analysis
    Hou, Muzhou
    Xiong, Dan
    Xie, Xiaoliang
    Wei, Guo
    20TH INT CONF ON UBIQUITOUS COMP AND COMMUNICAT (IUCC) / 20TH INT CONF ON COMP AND INFORMATION TECHNOLOGY (CIT) / 4TH INT CONF ON DATA SCIENCE AND COMPUTATIONAL INTELLIGENCE (DSCI) / 11TH INT CONF ON SMART COMPUTING, NETWORKING, AND SERV (SMARTCNS), 2021, : 92 - 99
  • [6] Performance reliability of polymorphic systems by fuzzy fault tree based on T-S model
    Sun L.
    Huang N.
    Wu W.
    Li X.
    Huang, Ning (hn@buaa.edu.cn), 1600, Chinese Mechanical Engineering Society (52): : 191 - 198
  • [7] Dynamic risk evaluation of hydrogen station leakage based on fuzzy dynamic Bayesian network
    Zhang, Jixin
    Shi, Minghao
    Lang, Xiaosong
    You, Qiuju
    Jing, Yilin
    Huang, Dongyang
    Dai, Haoyuan
    Kang, Jian
    INTERNATIONAL JOURNAL OF HYDROGEN ENERGY, 2024, 50 : 1131 - 1145
  • [8] Study on hydrogen safety of fuel cell engine based on fuzzy fault tree
    Quan, Rui
    Quan, Shu-Hai
    Huang, Liang
    Chen, Qi-Hong
    Shanghai Jiaotong Daxue Xuebao/Journal of Shanghai Jiaotong University, 2010, 44 (07): : 951 - 956
  • [9] Research on aircraft burst fault diagnosis based on T-S fuzzy neural network
    Wang, Lijing, 1600, Transport and Telecommunication Institute, Lomonosova street 1, Riga, LV-1019, Latvia (18):
  • [10] T-S fuzzy adaptive observer based fault diagnosis and fault tolerant control for near space vehicle
    Xu, Yufei
    Jiang, Bin
    Qi, Ruiyun
    Gao, Zhifeng
    Dongnan Daxue Xuebao (Ziran Kexue Ban)/Journal of Southeast University (Natural Science Edition), 2009, 39 (SUPPL. 1): : 189 - 194