Cross-domain feature selection and diagnosis of oil and gas pipeline defects based on transfer learning
Author:
Funder
National Key Research and Development Program of China
Publisher
Elsevier BV
Subject
General Engineering,General Materials Science
Reference49 articles.
1. Finite element analysis of the failure of high-strength steel pipelines containing group corrosion defect;Zhou;Eng. Fail. Anal.,2022
2. Integrity assessment of corroded oil and gas pipelines using machine learning: A systematic review;Soomro;Eng. Fail. Anal.,2022
3. Selection of key indicators for reputation loss in oil and gas pipeline failure event;Chen;Eng. Fail. Anal.,2019
4. Failure analysis of a natural gas pipeline subjected to landslide;Vasseghi;Eng. Fail. Anal.,2021
5. A review on pipeline integrity management utilizing in-line inspection data;Xie;Eng. Fail. Anal.,2018
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