Risk Assessment of Long Distance Oil and Gas Pipeline Based on Grey Clustering-Reference-Cited by-同舟云学术

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Risk Assessment of Long Distance Oil and Gas Pipeline Based on Grey Clustering

Published:2017-08 Issue: Volume: Page:
ISSN:
Container-title:2017 IEEE International Conference on Big Knowledge (ICBK)
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Author:

Hu Yusheng,Liu Kehui,Xu Dong,Zhai Zhengang,Liu Haiyun

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/8020037/8023377/08023416.pdf?arnumber=8023416

Cited by 8 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. Multistate Probabilistic Assessment of Third-Party Damage Risk for Oil and Gas Pipelines Based on DEMATEL-ISM-Røed-BN;Journal of Performance of Constructed Facilities;2024-08

2. AI and ML-based Assessment to Reduce Risk in Oil and Gas Retail Filling Station: A Literature Review;December 2022;2023-01-23

3. Mathematical Models for Assessing the Reliability of Processes of Automated Control of the Main Gas Pipeline, Taking into Account the "Human Factor";2022 IEEE 9th International Conference on Problems of Infocommunications, Science and Technology (PIC S&T);2022-10-10

4. A Multi-Criteria Approach to Sustainable Risk Management of Supplier Portfolio: A Case Study at Defense Industry;GAZI UNIVERSITY JOURNAL OF SCIENCE;2022-01-08

5. Hydrogen Infrastructure Project Risks in The Netherlands;Energies;2021-09-22

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