Failure analysis and control of natural gas pipelines under excavation impact based on machine learning scheme

Third-party excavation operations pose a serious threat to the safe operation of natural gas pipelines, and quantifying the failure conditions of pipelines can effectively identify the hazards of excavation operations. Considering the current lack of test data on the full-size critical conditions of...

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Bibliographic Details

Published in:	The International journal of pressure vessels and piping Vol. 201; p. 104870
Main Authors:	Xu, Duo, Chen, Liqiong, Yu, Chang, Zhang, Sen, Zhao, Xiang, Lai, Xin
Format:	Journal Article
Language:	English
Published:	Elsevier Ltd 01.02.2023
Subjects:	Data-driven predictive model Impact load Machine learning combinatorial algorithms Quantifying failure risk analysis Safety of natural gas pipelines Machine learning combinatorial algorithms Data-driven predictive model Safety of natural gas pipelines Quantifying failure risk analysis Impact load
ISSN:	0308-0161, 1879-3541
Online Access:	Get full text
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