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Quantitative Assessment of Pipeline Defects Utilizing a Dual-Stage Deep Learning Framework: Integration of Pretrained Yolo Network and Multi-Input Parallel Convolution Architectures on Magnetic Flux Leakage Data

Number of pages: 23 Posted: 07 Nov 2024

Jialiang Xie, Jie Yang, Kuan Fu, Linxi Tai, Xia Wang, Jianjun Zhu and Jianli Wang

Southeast University, Southeast University, PipeChina, Southeast University, No.4 Construction Company of China Petroleum Pipeline Engineering Co., Ltd., China University of Petroleum (Beijing) and Southeast University

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Jie Yang

Southeast University

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Scholarly Papers (1)

Quantitative Assessment of Pipeline Defects Utilizing a Dual-Stage Deep Learning Framework: Integration of Pretrained Yolo Network and Multi-Input Parallel Convolution Architectures on Magnetic Flux Leakage Data

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