化工进展 ›› 2022, Vol. 41 ›› Issue (S1): 60-71.DOI: 10.16085/j.issn.1000-6613.2022-0650

• 化工过程与装备 • 上一篇    下一篇

基于盲目反卷积算法的X90管线钢腐蚀声发射信号分析

苗嘉旭1(), 陈仙江2, 周洋洋1, 贠智强3, 张玉红1, 毕海胜1()   

  1. 1.青岛科技大学机电工程学院, 山东 青岛 266061
    2.新疆油田公司,新疆 克拉玛依 834000
    3.山东省特种设备 检验研究院有限公司,山东 济南 250014
  • 收稿日期:2022-04-13 修回日期:2022-05-25 出版日期:2022-10-20 发布日期:2022-11-10
  • 通讯作者: 毕海胜
  • 作者简介:苗嘉旭(1998—),男,硕士研究生,研究方向为油气储运安全。E-mail:mjx040017@163.com
  • 基金资助:
    山东省自然科学基金(ZR2017BEE068);山东省油气储运安全重点实验室开放基金;中央高校基本科研业务费专项(19CX05007A);国家重点研发计划(2021YFB3401403)

Corrosion acoustic emission signal analysis of X90 pipeline steel based on blind deconvolution algorithm

MIAO Jiaxu1(), CHEN Xianjiang2, ZHOU Yangyang1, YUN Zhiqiang3, ZHANG Yuhong1, BI Haisheng1()   

  1. 1.College of Electromechanical Engineering, Qingdao University of Science & Technology, Qingdao 266061, Shandong, China
    2.Xinjiang Oilfield Company, Karamay 834000, Xinjiang, China
    3.Shandong Special Equipment Inspection Institute Co. , Ltd. , Jinan 250014, Shandong, China
  • Received:2022-04-13 Revised:2022-05-25 Online:2022-10-20 Published:2022-11-10
  • Contact: BI Haisheng

摘要:

油气管道腐蚀具有随机性,且腐蚀声发射源信号在传播过程中还会发生一定的衰减和畸变,致使管道腐蚀声发射信号的特征提取与准确识别相当困难。本文通过构建X90钢腐蚀声发射监测实验系统,采集腐蚀声发射原位信号和衰减信号进行对比分析。并通过时频分析,小波分解与重构以及盲目反卷积复原对信号进行进一步的分析。结果表明,盲目反卷积算法对于小波变换处理后的腐蚀声发射的复原十分有效,信号频率主要集中在130~170kHz,部分高频频率峰值在200kHz和250kHz,衰减的高频信号得到较好的恢复,从而使检测信号更加逼近X90钢腐蚀源信号的特征。信号复原对现场油气管道腐蚀声发射检测与评价具有重要的指导意义。

关键词: X90钢, 腐蚀, 声发射, 盲目反卷积算法, 信号复原

Abstract:

The corrosion of oil and gas pipelines is random, and the corrosion acoustic emission source signal will have some attenuation and distortion in the propagation process, and thus it is quite difficult to extract and identify the characteristics of the corrosion acoustic emission signal of pipelines. The corrosion acoustic emission monitoring experiment systems of X90 steel were constructed to collect in-situ and attenuated corrosion acoustic emission signals, and conducted comparative analysis. The signal was further analyzed by time-frequency analysis, wavelet decomposition and reconstruction and blind deconvolution restoration. The results showed that the blind deconvolution algorithm was very effective for the restoration of corrosion acoustic emission after wavelet transform processing. The signal frequency was mainly concentrated in 130—170kHz, and part of the high frequency peak was in 200kHz and 250kHz. The attenuated high frequency signal can be recovered well so that the detection signal was closer to the characteristics of the corrosion source signal of X90 steel. Signal recovery had important guiding significance for acoustic emission detection and evaluation of oil and gas pipeline corrosion.

Key words: X90 steel, corrosion, acoustic emission, blind deconvolution algorithm, signal recovery

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