管道缺陷的高分辨率抗噪声定位方法
Localization method for pipeline defects with high spatial resolution under noise interruption
摘 要
超声导波技术具有传播距离长、对小损伤灵敏的优点,因此广泛应用在结构的无损检测中。然而,当管道中存在多个相邻的缺陷时,缺陷的反射波会相互重叠,导致损伤定位的分辨率较低。为了提高定位分辨率,建立了一种基于迭代优化的管道导波稀疏分解方法,然后在强泄漏噪声干扰下,对试验测得的重叠波包进行分离。与传统的定位方法相比,重构后的波包具有较高的时间分辨率,从而提高了定位分辨率。试验结果表明,该算法在强泄漏干扰噪声条件下能有效识别两个相邻缺陷,定位误差分别为3.33%和4.62%。
波包分离
字典
pipeline detection
wave-packet separation
dictionary
Abstract
Ultrasonic guided wave technology is widely used in structural nondestructive testing due to its long propagation distance and sensitivity to small damage. However, when there are multiple defects nearly in the pipeline, the reflected waves of the defects will overlap each other, deducing comparatively low localization resolution. In order to enhance the localization resolution, a sparse decomposition approach based on iterative optimization for pipeline detection is was firstly established. Then, under strong leakage noise interference, the overlapped wave packets are were separated. The reconstructed wave packets showed better temporal resolution, and subsequently improved the localization resolution. Compared with the conventional positioning method, the proposed algorithm verified by experiment can effectively identify two adjacent defects under strong leakage interference noise, and the positioning errors are 3. 33% and 4. 62% respectively.
中图分类号 TG115.28 DOI 10.11973/wsjc202310004
所属栏目 2023远东无损检测新技术论坛论文精选
基金项目 国家自然科学基金(52171283);山东省自然科学基金(ZR2020ME268);江苏省自然科学基金(BK20201189)
收稿日期 2023/7/15
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备注穆为磊(1986-),男,博士,副教授,主要从事海洋机电装备的结构健康监测工作
引用该论文: MU Weilei,NING Hao,SUN Hailiang,SUN Yifeng. Localization method for pipeline defects with high spatial resolution under noise interruption[J]. Nondestructive Testing, 2023, 45(10): 19～22
穆为磊,宁昊,孙海亮,孙艺峰. 管道缺陷的高分辨率抗噪声定位方法[J]. 无损检测, 2023, 45(10): 19～22
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参考文献
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【9】WANG S,HUANG S L,ZHAO W,et al.3D modeling of circumferential SH guided waves in pipeline for axial cracking detection in ILI tools[J].Ultrasonics,2015,56:325-331.
【2】BANG S S,LEE Y H,SHIN Y J.Defect detection in pipelines via guided wave-based time-frequency-domain reflectometry[J].IEEE Transactions on Instrumentation and Measurement,2021,70:1-11.
【3】WANG X J,GAO H M,ZHAO K,et al.Time-frequency characteristics of longitudinal modes in symmetric mode conversion for defect characterization in guided waves-based pipeline inspection[J].NDT & E International,2021,122:102490.
【4】PERELLI A,DE MARCHI L,FLAMIGNI L,et al.Best basis compressive sensing of guided waves in structural health monitoring[J].Digital Signal Processing,2015,42:35-42.
【5】DENG F,WU B,HE C F.Time reversal method for guided wave inspection in pipes[J].Frontiers of Mechanical Engineering in China,2008,3(3):251-260.
【6】ALGURI K S,MELVILLE J,HARLEY J B.Baseline-free guided wave damage detection with surrogate data and dictionary learning[J].The Journal of the Acoustical Society of America,2018,143(6):3807-3818.
【7】MU W L,GAO Y Q,LIU G J.Ultrasound defect localization in shell structures with lamb waves using spare sensor array and orthogonal matching pursuit decomposition[J].Sensors,2021,21(23):8127.
【8】LI Y F,ZHOU Y,FU M,et al.Analysis of propagation and distribution characteristics of leakage acoustic waves in water supply pipelines[J].Sensors,2021,21(16):5450.
【9】WANG S,HUANG S L,ZHAO W,et al.3D modeling of circumferential SH guided waves in pipeline for axial cracking detection in ILI tools[J].Ultrasonics,2015,56:325-331.
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