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Exploration of Data Interpretation Methods and Machine Learning–Based Failure Prediction Models for Plastic Gas Distribution Pipelines

Year: 2025

Type: article

Source: Journal of Pipeline Systems Engineering and Practice

DOI: 10.1061/jpsea2.pseng-1724

Authors: Seyed M. Yadollahi, Kalyan R. Piratla

Institution: Clemson 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: W7093327602

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Cites: 45

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