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...

Celý popis

Podrobná bibliografia

Vydané v:	The International journal of pressure vessels and piping Ročník 201; s. 104870
Hlavní autori:	Xu, Duo, Chen, Liqiong, Yu, Chang, Zhang, Sen, Zhao, Xiang, Lai, Xin
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Elsevier Ltd 01.02.2023
Predmet:	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
On-line prístup:	Získať plný text
Tagy:	Pridať tag Žiadne tagy, Buďte prvý, kto otaguje tento záznam!