管道的在线监测型自校正超声波测厚技术
Ultrasonic Thickness On-line Monitoring Technique with Self-Calibration of Pipeline
摘 要
提出了一种具有自校正功能的超声波测厚技术，该技术可以有效消除温度变化等对声速的影响，还可用于在线监测油气金属管道腐蚀情况等。利用快速傅里叶变换滤除了自校正超声波中的干扰杂波，然后选取回波信号的多个极值点来准确计算管道的厚度。结果表明，该自校正超声波测厚技术具有良好的检测精度和稳定性。
自校正
多极值点
监测
ultrasonic testing
self-calibration
multi-extremum point
online monitoring
Abstract
This paper proposed a new ultrasonic thickness measurement technology with self-calibration function which could effectively eliminate the influence of temperature variation on sound velocity so that it could on-line monitor the corrosion condition of metal pipeline of oil and gas. In this paper, the fast Fourier transform (FFT) was used to filter out the interference clutter in the self-calibration ultrasonic wave, and then multi-extrema of the echo signal were selected to calculate the thickness of the measured object. It is proven that the self-calibration ultrasonic thickness measurement technology in this paper has good detection precision and stability.
中图分类号 TE973 TG115.28 DOI 10.11973/wsjc201711011
所属栏目 试验研究
基金项目 国家自然科学基金资助项目（61271329）；四川省科技支撑计划资助项目（2012GZ0094）；中国石油科技创新基金资助项目（2015D-5006-0607）
收稿日期 2017/3/29
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备注罗建(1992-),男,硕士,主要从事精密测量技术的研究
引用该论文: LUO Jian,GAN Fangji,ZHANG Yiming,LIAO Junbi,WANG Shaochun. Ultrasonic Thickness On-line Monitoring Technique with Self-Calibration of Pipeline[J]. Nondestructive Testing, 2017, 39(11): 48～52
罗建,甘芳吉,张轶茗,廖俊必,王少纯. 管道的在线监测型自校正超声波测厚技术[J]. 无损检测, 2017, 39(11): 48～52
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参考文献
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【2】MICHAEL M. Re-thinking possible in in-line inspection[J]. Flowlines & Pipelines,2012,5:125-128.
【3】SHUFEN Q,LIU J,JIA G F. Study of submarine pipeline corrosion based on ultraso detection and wavelet[C]//International Conference on Computer Applcation and System Modeling.[S.l.]:[s.n],2010:440-444.
【4】孙钟.温度对超声波探伤缺陷定位、定量的影响研究[D].大连:大连理工大学,2009.
【5】GAN Fangji, WAN Zhengjun, LI Yuting,et al. Improved formula for localized corrosion using field signature method[J]. Measurement,2015,63:137-142.
【6】GAN Fangji, TIAN Guiyun, WAN Zhengjun,et al. Investigation of pitting corrosion monitoring using field signature method[J].Measurement,2016,82:46-54.
【7】黄瑜瑜,甘芳吉, 廖俊必. 数字锁相放大技术在场指纹法中的应用[J].腐蚀与防护,2015,36(7):659-663.
【8】沃德, 海伦, 斯蒂芬,等.模态分析理论与试验[M].白化同,郭继忠,译.北京:北京理工大学出版社,2000.
【9】马永列. 结构模态分析实现方法的研究[D]. 杭州:浙江大学, 2008.
【10】SHOUPENG S, ZHOU J. Quadrature demodulation based circuit implementation of pulse stream for ultrasonic signal FRI sparse sampling[J]. Measurement Science and Technology,2017,28(3):35-36.
【11】王晋,郑凯, 王海涛, 等. 波形相关性算法在超声波测厚中的应用[J]. 光学精密工程, 2015, 23(10):432-438.
【12】杨飞鹏,张祥, 黄启俊, 等. 基于二次曲线拟合的超声测距算法研究与实现[J]. 测控技术, 2014, 33(5):21-23.
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