Extraction of the soil vibration signal based on Hilbert transform

Shangqing Hao, Guangshun Shi, Kai Wang, H. Yan
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Abstract

This paper researches on real-time noise reduction and segmentation method of soil vibration signals collected by the fiber optic laid in the vicinity of oil pipeline. First, we extract valid fragments of signals using the self-correlation coefficient. Then Hilbert transform is performed to reduce noise and enhance on those extracted fragments. Finally, we collect vibration signals caused by destructive events with dual-threshold method. Real application showed that the method proposed in this paper is robust and accurate enough to extract all the signals of our interest, making a great contribution to improving the performance in the following classification stage.
基于Hilbert变换的土壤振动信号提取
本文研究了铺设在输油管道附近的光纤采集到的土壤振动信号的实时降噪和分割方法。首先,我们利用自相关系数提取信号的有效片段。然后对提取的碎片进行希尔伯特变换去噪和增强。最后,采用双阈值法采集破坏性事件引起的振动信号。实际应用表明,本文提出的方法具有足够的鲁棒性和准确性,可以提取出我们感兴趣的所有信号,对提高后续分类阶段的性能有很大的贡献。
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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