泄漏
声学
管道运输
噪音(视频)
声发射
管道(软件)
结构工程
工程类
材料科学
计算机科学
机械工程
物理
人工智能
环境工程
图像(数学)
作者
Suzhen Li,Chenyang Gong,Ze-Long Liu
出处
期刊:Measurement
[Elsevier BV]
日期:2021-09-01
卷期号:182: 109791-109791
被引量:4
标识
DOI:10.1016/j.measurement.2021.109791
摘要
• A field test is conducted on a gas pipe in service with strong background noise. • The measured dispersive curve is in accordance with the bending mode of F (1,1). • Two methods for leak localization achieve good identification results. • The existence of the 3PE coating decreases the accuracy of leak localization. • The elbows and weld seams have little impact on the accuracy of leak localization. Acoustic sensing techniques have demonstrated to be promising methods for leak detection. A major challenge lies in the multi modes and dispersion nature in acoustic signals propagating along pipelines, which may cause inaccurate estimation of wave velocity and time delay. To find a best solution for precise leak identification considering a specific application scenario, a field test is conducted on a gas pipeline in service with strong background noise. Various factors affecting the in-situ measurements are investigated, including the ambient noise, the existence of elbow, weld seam, anticorrosive paint or polyethylene coating. The dispersive curve of the test pipeline is theoretically simulated and experimentally measured. Two methods based on discrete wavelet transform and time–frequency spectrum are then employed for leak locating. The positioning accuracy of the two methods are compared and discussed with regards to the influence factors in field testing.
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