中国安全科学学报 ›› 2018, Vol. 28 ›› Issue (10): 124-130.doi: 10.16265/j.cnki.issn1003-3033.2018.10.021

• 安全工程技术科学 • 上一篇    下一篇

基于VMD分量相对熵分析的压力管道泄漏定位

郝永梅 副教授, 覃妮, 邢志祥 教授, 陆贵荣 副教授   

  1. 常州大学 环境与安全工程学院,江苏 常州 213164
  • 收稿日期:2018-07-08 修回日期:2018-08-28 出版日期:2018-10-28 发布日期:2020-11-20
  • 作者简介:郝永梅 (1970—),女,重庆人,硕士,副教授,主要从事消防工程及油气储运风险分析研究。E-mail:hymzcs@cczu.edu.cn。
  • 基金资助:
    江苏省重点研发计划专项项目(BE2018642);江苏省大学生创新创业项目(201810292033Y);常州市科技项目(CM20179060)。

Pressure pipe leakage location based on of VMD and relative entropy analysis

HAO Yongmei, QIN Ni, XING Zhixiang, LU Guirong   

  1. School of Environmental and Safety Engineering, Changzhou University, Changzhou Jiangsu 213164, China
  • Received:2018-07-08 Revised:2018-08-28 Online:2018-10-28 Published:2020-11-20

摘要: 为减小压力管道泄漏定位误差,从而及时处理管道泄漏,预防事故,首先,提出一种基于变分模态分解(VMD)分量相对熵分析的管道泄漏定位方法,采用VMD分解泄漏信号,获得多个分量,用相对熵分析自适应选择方法去除与管道泄漏信号混合的非泄漏信号,获取最佳观测信号;然后,利用管道模态声发射理论与广义S变换互时频分析,减少泄漏声发射信号频散性对定位的影响,获取较准确的泄漏信号的时延与声速;最后,利用管道泄漏时差定位公式计算泄漏位置,实现管道泄漏的精确定位。结果表明:该方法能够实现管道泄漏精确定位,与直接互时频分析方法以及相关系数分析法相比,定位精度明显提高。

关键词: 管道, 泄漏定位, 变分模态分解(VMD), 相对熵, 互时频

Abstract: In order to reduce pipeline leakage positioning error, so as to timely deal with pipeline leakage and prevent accidents, a pipeline leakage location method based on relative entropy analysis of VMD components was worked out. In the process of working out it, VMD was used to decompose the leakage signal into multiple components, the relative entropy analysis adaptive selection method was used to remove the non-leakage signals mixed with the pipeline leakage signal and obtain the best observation signal. Then, pipeline modal acoustic emission theory and generalized S-transformation time-frequency analysis were used to reduce the effect of the dispersion of the leak acoustic emission signal on location, and the delay and sound velocity of the leak signal were obtained accurately. Finally, the leak location was calculated by the pipeline leakage time difference positioning formula to achieve accurate positioning of the pipeline leakage. The results show that the method can realize the precise location of pipeline leakage points, and that the positioning accuracy is significantly improved compared with those by the direct mutual time-frequency analysis method and the correlation coefficient analysis method.

Key words: pipe, leakage location, variational mode decomposition(VMD), relative entropy, cross time frequency spectrum

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