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Conferences > OFS > 2020 > W2B > W2B.3

Pipeline Defects Detection and Classification Based on Distributed Fiber Sensors and Neural Networks

Qirui Wang, Jianan Jian, Mohan Wang, Jingyu Wu, Zhi-Hong Mao, Andrei V. Gribok, and Kevin P. Chen

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Abstract

An integrated approach is presented to detect pipeline defects using distributed acoustic sensors and machine learning. Over 80% accuracy for defected pipe identification was achieved with defect depth classifications with error less than 1-mm.

© 2020 The Author(s)

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