Intelligent identification of girth welds defects in pipelines using neural networks with attention modules

Author:

Xu Lushuai,Dong Shaohua,Wei Haotian,Peng Donghua,Qian Weichao,Ren Qingying,Wang Luming,Ma Yundong

Funder

China National Petroleum Corporation

China University of Petroleum, Beijing

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Artificial Intelligence,Control and Systems Engineering

Reference40 articles.

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3. Stainless steel weld defect detection using pulsed inductive thermography[J];Cheng;IEEE Trans. Appl. Supercond.,2016

4. Application of MFL on girth-weld defect detection of oil and gas pipelines[J];Dai;J. Pipeline Syst. Eng. Pract.,2020

5. A lightweight vehicles detection network model based on YOLOv5[J];dong Dong;Eng. Appl. Artif. Intell.,2022

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