Page 60 - 《应用声学》2022年第4期

第 41 卷 第 4 期 Vol. 41, No. 4
2022 年 7 月 Journal of Applied Acoustics July, 2022

⋄ 研究报告 ⋄

超声导波管道缺陷定位方法研究 ∗

王松浩 1 胡芷逸 1 张应红 1† 鲁国富 2

(1 桂林电子科技大学机电工程学院 桂林 541004)
(2 国营长虹机械厂 桂林 541000)

摘要：该文提出了一种基于多换能器的超声导波管道缺陷定位方法，利用两个环形换能器阵列分别接收与缺
陷相关的反射信号和透射信号，实现管道缺陷轴向及周向定位。首先利用变分模态分解法对信号进行滤波，在
滤除噪声的基础上对信号进行小波变换，获得缺陷反射的导波时频信息，根据反射波的渡越时间计算缺陷在
管道轴向的位置。在缺陷的周向定位上，提出一种损伤指数迭代方法，根据透过缺陷后导波的损伤指数来计算
缺陷的周向位置及周向长度。仿真和实验结果表明，该文所采用的方法能够较为准确地测量出管道上缺陷的
位置及周向长度。
关键词：超声导波；损伤指数；变分模态分解；小波变换；缺陷定位
中图法分类号: TB553 文献标识码: A 文章编号: 1000-310X(2022)04-0558-10
DOI: 10.11684/j.issn.1000-310X.2022.04.007

Ultrasonic guided waves for defect location in pipeline

WANG Songhao 1 HU Zhiyi 1 ZHANG Yinghong 1 LU Guofu 2

(1 School of Mechanical and Electrical Engineering, Guilin University of Electronic Technology, Guilin 541004, China)
(2 State Owned Changhong Machinery, Guilin 541000, China)

Abstract: This paper proposes a multi-transducer-based ultrasonic guided wave pipeline defect location
method, which uses two annular transducer arrays to receive the reflection signal and transmission signal
related to the defect, respectively, to realize the axial and circumferential positioning of the pipeline defect.
Firstly, the signal is filtered by the variational modal decomposition method, and the wavelet transform is
performed on the signal on the basis of filtering the noise, and the time-frequency information of the guided
wave reflected by the defect is obtained. Calculate the axial position of the defect on the pipeline according
to the transit time of the reflected wave. On the circumferential location of the defect, an iterative method of
damage index is proposed, which calculates the circumferential position and circumferential length of the defect
according to the damage index of the guided wave after passing through the defect. Simulation and experimen-
tal results show that the method used in this paper can accurately measure the location and circumferential
length of the defects on the pipeline.
Keywords: Ultrasonic guided waves; Damage index; Variational modal decomposition; Wavelet transform;
Defect localization

2021-06-21 收稿; 2021-09-07 定稿
桂林电子科技大学研究生教育创新计划项目 (2021YCXS020), 广西制造系统与先进制造技术重点实验室项目 (17-259-05-005Z)
∗
作者简介: 王松浩 (1996– ), 男, 山东青岛人, 硕士研究生, 研究方向: 无损检测。
† 通信作者 E-mail: yh_zhang@guet.edu.cn