Experimental data-driven defect quantification of oil and gas pipelines using magnetic flux leakage inspection: A hybrid neural network for safety risk identification

Process Safety and Environmental Protection 2026

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Authors: Liang Liu, Li Mo, Shuai Zhao, Mo He, Yong Hao, Chao Chen

DOI: 10.1016/j.psep.2026.108739

Cited by: 2

References: 37

Fields of Study & Subjects

Non-Destructive Testing Techniques Structural Integrity and Reliability Analysis Water Systems and Optimization

References 37