太赫兹科学与电子信息学报2024，Vol.22Issue(5)：558-564,7.DOI:10.11805/TKYDA2022079
基于模糊贝叶斯网络的引水隧洞安全评价模型分析
Analysis of safety evaluation model of headrace tunnel based on fuzzy Bayesian network
摘要
Abstract
In order to accurately predict the potential safety hazards of the Yellow River diversion tunnel,a fuzzy Bayesian safety evaluation model based on fuzzy set theory and subjective Bayesian method is proposed.Combined with the actual inspection data,this model uses Bayesian Network(BN)to process fuzzy information and uncertain information,fuzzies polymorphic fault events from the inspection data,and then finds out logical relationship among different fault events through conditional probability table of Bayesian network.Finally,the overall evaluation of the headrace tunnel safety model is obtained,and the feasibility of this method is verified by example analysis of the headrace tunnel safety evaluation model.关键词
模糊集理论/主观贝叶斯理论/不确定性/引水隧洞安全评价模型Key words
fuzzy set theory/subjective Bayesian theory/uncertainty/safety evaluation model of headrace tunnel分类
计算机与自动化引用本文复制引用
皮明,杨涛,张良,田华平,黄山河..基于模糊贝叶斯网络的引水隧洞安全评价模型分析[J].太赫兹科学与电子信息学报,2024,22(5):558-564,7.基金项目
国家重点研发计划子课题资助项目(2019YFB1310504) （2019YFB1310504）
西南科技大学博士基金资助项目(21zx7142) （21zx7142）
