Cross-country pipeline inspection data analysis and testing of probabilistic degradation models-Reference-Cited by-同舟云学术

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Cross-country pipeline inspection data analysis and testing of probabilistic degradation models

Published:2021-09 Issue:3 Volume:1 Page:308-320
ISSN:2667-1433
Container-title:Journal of Pipeline Science and Engineering
language:en
Short-container-title:Journal of Pipeline Science and Engineering

Author:

Khan Faisal,Yarveisy Rioshar,Abbassi Rouzbeh

Funder

CRC Health Group

Genome Canada

Canada Research Chairs

Canada Excellence Research Chairs

Publisher

Elsevier BV

Subject

Materials Chemistry

Reference66 articles.

1. Reliability prediction for corroding natural gas pipelines;Agency;Corros. Sci.,2017

2. A new look at the statistical model identification;Akaike;IEEE Trans. Automat. Contr.,1974

3. Bayesian model for calibration of ILI tools;Al-Amin,2012

4. Reliability assessment of underground pipelines under active corrosion defects;Amirat,2009

5. Managing system integrity for hazardous liquids pipelines;API;API recommended practice,2013

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1. Energy pipeline degradation condition assessment using predictive analytics – challenges, issues, and future directions;Journal of Pipeline Science and Engineering;2024-09

2. Performance analysis of coaxial shear static mixer for hydrogen blending into natural gas;International Journal of Hydrogen Energy;2024-08

3. Optimal Inspection Planning for Corroded Pipelines Considering Repair Decision Error;Journal of Pipeline Systems Engineering and Practice;2024-05

4. Data Augmentation of a Corrosion Dataset for Defect Growth Prediction of Pipelines Using Conditional Tabular Generative Adversarial Networks;Materials;2024-03-01

5. Spatial characterization and simulation of new defects in corroded pipeline based on In-Line Inspections;Reliability Engineering & System Safety;2024-01

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