Author:
Chen Pengchao,Fu Kuan,Li Rui,Zhong Zikang,Xie Jialiang,Wang Jianli,Zhu Jianjun
Reference55 articles.
1. Failure of pipe joints during hydrostatic testing;F Ahmed;Engineering Failure Analysis,2008
2. Evaluation of Machine Learning-Based Regression Techniques for Prediction of Oil and Gas Pipelines Defect;H Aldosari;International Conference on Computational Science and Computational Intelligence (CSCI),2020
3. Enhancement of leak detection in pipelines through time-domain reflectometry/ground penetrating radar measurements;A Cataldo;IET Science, Measurement & Technology,2017
4. Research and Method for In-line Inspection Technology of Girth Weld in Long-Distance Oil and Gas Pipeline;P Chen;In Journal of Physics: Conference Series,2021