Work

AI-Driven Framework for Predicting Oil Pipeline Failure Causes Based on Leak Properties and Financial Impact

Year: 2025

Type: article

Source: Journal of Pipeline Systems Engineering and Practice

DOI: 10.1061/jpsea2.pseng-1830

Authors: Tanzina Afrin, Nita Yodo, Ying Huang

Institution: North Dakota State University

Language: English

Topic: Structural Integrity and Reliability Analysis

Subfield: Mechanical Engineering

Field: Engineering

Domain: Physical Sciences

SDG: Industry, innovation and infrastructure

Open Access status: closed

OpenAlex ID: W4407704125

FWCI: 2.109

Cites: 34

Cited by: 7

Related to: 10