Weld-Quality Diagnosis of In-Service Natural Gas Pipelines Based on a Fusion Model-Reference-Cited by-同舟云学术

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Weld-Quality Diagnosis of In-Service Natural Gas Pipelines Based on a Fusion Model

Published:2024-08 Issue:3 Volume:15 Page:
ISSN:1949-1190
Container-title:Journal of Pipeline Systems Engineering and Practice
language:en
Short-container-title:J. Pipeline Syst. Eng. Pract.

Author:

Wang Lin¹,Mao Zhihao²,Ma Tingxia³,Xuan Heng⁴,Wang Jiang²

Affiliation:

1. Associate Professor, School of Mechatronic Engineering, Southwest Petroleum Univ., Chengdu 610500, China (corresponding author).

2. Graduate Student, School of Mechatronic Engineering, Southwest Petroleum Univ., Chengdu 610500, China.

3. Associate Professor, School of Mechatronic Engineering, Southwest Petroleum Univ., Chengdu 610500, China.

4. Engineer, PipeChina Southwest Pipeline Company, 6 Yingbin Ave., Jinjuan St., Jinniu District, Chengdu 610213, China.

Publisher

American Society of Civil Engineers (ASCE)

Link

https://ascelibrary.org/doi/pdf/10.1061/JPSEA2.PSENG-1488

Reference37 articles.

1. Combination of multiple neural networks using data fusion techniques for enhanced nonlinear process modelling

2. Fusion of U-Net and CNN model for segmentation and classification of skin lesion from dermoscopy images;Anand V.;Expert Syst. Appl.,2022

3. Random forests;Breiman L.;Mach. Learn.,2001

4. Multi-attribute risk assessment for risk ranking of natural gas pipelines

5. Incipient fault detection benefited from voting fusion strategy on analysis of process variation

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