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Crack detection and localization in a fluid pipeline based on acoustic emission signals

机译:基于声发射信号的流体管线裂纹检测和定位

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This paper introduces a novel approach to crack detection and localization in a pipeline transporting fluid under high pressure. From acoustic emission signals acquired by two R15i-AST sensors at two ends of a fluid pipeline, the proposed method scans peaks in the individual signal channels in the time-frequency domain and filters out noise to obtain acoustic emission events. Subsequently, adjacent events are combined into grouped events, and these are picked and paired together on two sensor channels to localize emission sources using the time difference of arrival technique. To improve the location accuracy, the mechanism only determines the arrival time of Rayleigh waves with a similar frequency in event pairs. Furthermore, the Rayleigh wave velocity is calibrated by a pencil lead breaking procedure. Additionally, false emission sources are eliminated by considering the wave energy attenuation characteristics in their propagation path. After locating the emission sources, the approach observes their distribution according to the position and time of occurrence. The variation in acoustic emission activity against applied load, which is established by counting the returned sources, can indicate irregular structural changes in a material. The location of the structural change can be surmised by the emission source distribution and density according to the position along the pipeline. Experimental results show that the proposed method correctly diagnoses faults in the considered pipeline from acoustic emission signals, whereas a conventional approach (performed by detecting hits with a threshold) inaccurately localizes acoustic emission sources and imprecisely exposes signs of abnormal structural transformations.
机译:本文介绍了一种新的裂缝在高压下输送流体中的裂纹检测和定位方法。从在流体管道的两端由两个R15i-AST传感器获取的声发射信号,所提出的方法在时频域中的各个信号通道中的峰值扫描,并过滤噪声以获得声发射事件。随后,将相邻事件组合成分组的事件,并且这些事件被挑选并将其配对在两个传感器通道上以使用到达技术的时差,以定位发射源。为了提高位置准确性,该机构仅确定瑞利波的到达时间以事件对的类似频率。此外,瑞利波速度通过铅笔铅破碎程序校准。另外,通过考虑其传播路径中的波能量衰减特性,消除了伪发射源。在定位发射源后,该方法根据发生的位置和时间观察它们的分布。通过计算返回的源来确定施加负荷的声发射活动的变化,可以指示材料中的不规则结构变化。结构变化的位置可以根据沿着管道的位置施加发射源分布和密度。实验结果表明,该方法在声发射信号中正确地诊断了所考虑的管道中的故障,而传统方法(通过检测阈值的命中)以不准确地定位声发射源,并且不均匀地暴露异常结构变换的迹象。

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