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Conferences > CLEO_AT > 2022 > AM3M > AM3M.4

Non-invasive and Online Pipeline Corrosion Detection based on Distributed Acoustic Sensing

Baoqiang Yan, Keqing Zhang, Hao Li, Shixiong Zhang, Cunzheng Fan, Zhijun Yan, and Qizhen Sun

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Abstract

A non-invasive online method for pipeline corrosion detection based on active acoustic flaw detection is proposed and demonstrated. The test results show that the proposed method can identify corrosion with a size less than 0.5%.

© 2022 The Author(s)

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