Corrosion leakage risk diagnosis of oil and gas pipelines based on semi-supervised domain generalization model-Reference-Cited by-同舟云学术

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Corrosion leakage risk diagnosis of oil and gas pipelines based on semi-supervised domain generalization model

Published:2023-10 Issue: Volume:238 Page:109486
ISSN:0951-8320
Container-title:Reliability Engineering & System Safety
language:en
Short-container-title:Reliability Engineering & System Safety

Author:

Miao Xingyuan,Zhao Hong,Gao Boxuan,Song Fulin

Funder

National Natural Science Foundation of China

China University of Petroleum Beijing

Science Foundation of China University of Petroleum, Beijing

Publisher

Elsevier BV

Subject

Industrial and Manufacturing Engineering,Safety, Risk, Reliability and Quality

Reference48 articles.

1. Risk assessment of buried gas pipelines based on improved cloud-variable weight theory;Chen;Reliab Eng Syst Safe,2022

2. Three-dimensional localization of gas leakage using acoustic holography;Li;Mech Syst Signal Pr,2022

3. Improved quantitative risk assessment of a natural gas pipeline considering high-consequence areas;Yin;Reliab Eng Syst Safe,2022

4. Efficient prediction method of triple failure pressure for corroded pipelines under complex loads based on a backpropagation neural network;Zhang;Reliab Eng Syst Safe,2023

5. Pipeline leakage alarm via bootstrap-based hypothesis testing;Wang;Mech Syst Signal Pr,2022

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3. Three-layer and robust planning models to evaluate the strategies of defense layer, attack layer, and operation layer for optimal protection in natural gas pipeline network;Reliability Engineering & System Safety;2024-09

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