A dynamic community gas risk-prediction method based on temporal knowledge graphs-Reference-Cited by-同舟云学术

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A dynamic community gas risk-prediction method based on temporal knowledge graphs

Published:2023-09 Issue: Volume:177 Page:436-445
ISSN:0957-5820
Container-title:Process Safety and Environmental Protection
language:en
Short-container-title:Process Safety and Environmental Protection

Author:

Shi Yuntao,Zhao Lei,Zhou Meng^ORCID,Yin Xiang^ORCID,Guo Wei,Li Chao

Publisher

Elsevier BV

Subject

Safety, Risk, Reliability and Quality,General Chemical Engineering,Environmental Chemistry,Environmental Engineering

Reference69 articles.

1. Risk modelling of a hydrogen gasholder using Fuzzy Bayesian Network (FBN);Aliabadi;Int. J. Hydrog. Energy,2020

2. Extracting spatial patterns of urban gas pipeline risk considering social and structural parameters of urban blocks;Azari;J. Nat. Gas. Sci. Eng.,2018

3. Multi-level optimization of maintenance plan for natural gas system exposed to deterioration process;BahooToroody;J. Hazard. Mater.,2019

4. Bayesian network based dynamic operational risk assessment;Barua;J. Loss Prev. Process Ind.,2016

5. Modeling for evaluation of safety instrumented systems with heterogeneous components;Cai;Reliab. Eng. Syst. Saf.,2021

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Knowledge graph and CBR-based approach for automated analysis of bridge operational accidents: Case representation and retrieval;PLOS ONE;2023-11-07

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