Work

Analysis of machine learning models and data sources to forecast burst pressure of petroleum corroded pipelines: A comprehensive review

Year: 2023

Type: article

Source: Engineering Failure Analysis

DOI: 10.1016/j.engfailanal.2023.107747

Authors: Afzal Ahmed Soomro, Ainul Akmar Mokhtar, Hilmi B Hussin, Najeebullah Lashari, Temidayo Lekan Oladosu, Syed Muslim Jameel, Muddasser Inayat

Institutions: Universiti Teknologi Petronas, Dawood University of Engineering and Technology, Ollscoil na Gaillimhe – University of Galway, Aalto 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: green

Funder: Universiti Teknologi Petronas

Award: G395791131

OpenAlex ID: W4388299784

FWCI: 5.822

Cites: 86

Cited by: 61

Related to: 10