Leak Detection and Leakage Assessment of Submarine Pipelines Based on Passive Acoustics

Yu Zhang, Zhu Feng, Xiaobo Rui, Bingpu Wang
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Abstract

Passive acoustic is considered to be a more economical and suitable method for long-term monitoring at sea. In this paper, a gas flow measurement method under low signal-to-ratio and overlapping conditions is proposed. The signal-to-noise ratio and measurement stability can be improved through complementary ensemble empirical mode decomposition and adaptive frequency matching. The normalized energy window is used to determine the time period of each bubble to ensure the accuracy of the frequency identification. The accuracy was verified by experiments. The results show that in the flow range of 100–1000mL/min, the measurement error is controlled within 6%. This paper provides insight into low signal-to-noise ratio and high-speed escaping gas flow measurement technology.
基于被动声学的海底管道泄漏检测与评估
被动声被认为是一种更经济、更合适的海上长期监测方法。本文提出了一种低信号比和重叠条件下的气体流量测量方法。通过互补系综经验模态分解和自适应频率匹配可以提高信号的信噪比和测量稳定性。利用归一化能量窗确定每个气泡的时间段,保证频率识别的准确性。通过实验验证了该方法的准确性。结果表明,在100-1000mL /min的流量范围内,测量误差控制在6%以内。本文介绍了低信噪比、高速逸出气体流量测量技术。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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