应用微分算法处理特种管道测厚激光超声信号

曹建树; 罗振兴; 姬保平

doi:10.3788/OPE.20172505.1197

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应用微分算法处理特种管道测厚激光超声信号

现代应用光学 | 更新时间：2020-07-07

- 应用微分算法处理特种管道测厚激光超声信号
- Laser ultrasonic signal processing by differential algorithm in special pipeline thickness measurement
- 光学精密工程 2017年25卷第5期页码：1197-1205
- 作者机构：
  
  1.北京石油化工学院机械工程学院, 北京 102617
  2.北京化工大学机电工程学院, 北京 100029
- 作者简介：
  
  [ "曹建树(1971-), 男, 内蒙古丰镇人, 博士, 副教授, 1995年于中国石油大学(华东)获得学士学位, 1998年、2014年于中国石油大学(北京)分别获得硕士、博士学位, 主要从事管道无损检测方面的研究。E-mail: jianshu@bipt.edu.cn" ]
  罗振兴(1991-), 男, 湖北荆州人, 硕士研究生, 2014年于北京化工大学获得学士学位, 主要从事管道无损检测方面的研究。E-mail:991628069@qq.com LUO Zhen-xing, E-mail:991628069@qq.com
- 基金信息：
  
  北京石油化工学院优秀学科带头人培育计划资助项目(BIPT-BPOAL-2014);企业课题(H16-071)
- DOI：10.3788/OPE.20172505.1197
  中图分类号： TE88
- 收稿日期：2017-01-05，
  
  录用日期：2017-2-21，
  
  纸质出版日期：2017-05-25
- 稿件说明：
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曹建树, 罗振兴, 姬保平. 应用微分算法处理特种管道测厚激光超声信号[J]. 光学精密工程, 2017,25(5):1197-1205.

Jian-shu CAO, Zhen-xing LUO, Bao-ping JI. Laser ultrasonic signal processing by differential algorithm in special pipeline thickness measurement[J]. Optics and precision engineering, 2017, 25(5): 1197-1205.
曹建树, 罗振兴, 姬保平. 应用微分算法处理特种管道测厚激光超声信号[J]. 光学精密工程, 2017,25(5):1197-1205. DOI： 10.3788/OPE.20172505.1197.

Jian-shu CAO, Zhen-xing LUO, Bao-ping JI. Laser ultrasonic signal processing by differential algorithm in special pipeline thickness measurement[J]. Optics and precision engineering, 2017, 25(5): 1197-1205. DOI： 10.3788/OPE.20172505.1197.

摘要

为了实现特种管道在高温、高压、辐射等特殊环境下管壁厚度的非均匀性检测，提出一种基于微分算法的管道壁厚激光超声测量及特征信号处理方法。采用脉冲激光激励和激光干涉探测的激光超声方法，实验测得管道试件的宽频带激光超声信号。采用数字平均算法对宽带激光超声信号进行去噪处理，提高原始激光超声信号的信噪比。采用微分算法对激光超声信号进行特征提取处理，得到表征管壁厚度的激光超声特征信号。根据管道材料声速和激光超声传播时间反演计算得到管道试件的壁厚值，管壁厚度测量值与实际值的误差小于5%。研究表明，基于微分算法的管道壁厚激光超声测量及特征信号处理方法具有良好的信噪比、准确的信号特征量和较高的测量精度，可用于管道壁厚的在线实时检测以及因腐蚀、应力引起的管道壁厚不均匀性检测。

Abstract

In view of the nonuniformity of pipe wall thickness of the special pipe under special environments such as high temperature

high pressure

radiation

and others

a method for laser ultrasonic measurement and thickness feature signals processing based on the differential algorithm was proposed. The laser ultrasonic method was adopted with pulse laser excitation and laser interference detection for the experimental measurement of broad-band laser ultrasonic signals of the test piece of pipe. Then the broad-band laser ultrasonic signals were de-noised by average algorithm in order to increase the signal to noise ratio of the original laser ultrasonic signals. Furthermore

the feature of the de-noised ultrasonic signals was extracted by differential algorithm

outputting the laser ultrasonic feature signals of pipe wall thickness. According to the sound velocity of pipe material and the laser ultrasonic transit time

the thickness values for the test piece of pipe wall were deduced. The error between the measured and actual thicknesses was less than 5%. The result shows that the processing method for thickness feature signals based on differential algorithm can provide favorable signal to noise ratio

accurate signal feature quantity and higher measurement accuracy

thus can be used for online real-time measurement of wall thickness of pipe and the thickness nonuniformity leaded by erosion and stress.

关键词

Keywords

references

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