Defect Detection using Power Spectrum of Torsional Waves in Guided-Wave Inspection of Pipelines

被引:9
|
作者
Mahal, Houman Nakhli [1 ,2 ]
Yang, Kai [3 ]
Nandi, Asoke K. [1 ]
机构
[1] Brunel Univ London, Dept Elect & Comp Engn, Uxbridge UB8 3PH, Middx, England
[2] NSIRC, Granta Pk, Cambridge CB21 6AL, England
[3] TWI, Granta Pk, Cambridge CB21 6AL, England
来源
APPLIED SCIENCES-BASEL | 2019年 / 9卷 / 07期
关键词
signal processing; defect detection; torsional wave; power spectrum; sliding window; pipeline inspection; ultrasonic guided-waves (UGWs); PROCESSING TECHNIQUE; DISPERSION; ENHANCEMENT;
D O I
10.3390/app9071449
中图分类号
O6 [化学];
学科分类号
0703 ;
摘要
Ultrasonic Guided-wave (UGW) testing of pipelines allows long-range assessment of pipe integrity from a single point of inspection. This technology uses a number of arrays of transducers separated by a distance from each other to generate a single axisymmetric (torsional) wave mode. The location of anomalies in the pipe is determined by inspectors using the received signal. Guided-waves are multimodal and dispersive. In practical tests, nonaxisymmetric waves are also received due to the nonideal testing conditions, such as presence of variable transfer function of transducers. These waves are considered as the main source of noise in the guided-wave inspection of pipelines. In this paper, we propose a method to exploit the differences in the power spectrum of the torsional wave and flexural waves, in order to detect the torsional wave, leading to the defect location. The method is based on a sliding moving window, where in each iteration the signals are normalised and their power spectra are calculated. Each power spectrum is compared with the previously known spectrum of excitation sequence. Five binary conditions are defined; all of these need to be met in order for a window to be marked as defect signal. This method is validated using a synthesised test case generated by a Finite Element Model (FEM) as well as real test data gathered from laboratory trials. In laboratory trials, three different pipes with defects sizes of 4%, 3% and 2% cross-sectional area (CSA) material loss were evaluated. In order to find the optimum frequency, the varying excitation frequency of 30 to 50 kHz (in steps of 2 kHz) were used. The results demonstrate the capability of this algorithm in detecting torsional waves with low signal-to-noise ratio (SNR) without requiring any change in the excitation sequence. This can help inspectors by validating the frequency response of the received sequence and give more confidence in the detection of defects in guided-wave testing of pipelines.
引用
收藏
页数:24
相关论文
共 50 条
  • [31] Numerical simulation of crack detection in pipes using ultrasonic longitudinal guided-wave
    Zhou, Yi-Qing
    Wang, Zhi-Hua
    Ma, Hong-Wei
    Zhongbei Daxue Xuebao (Ziran Kexue Ban)/Journal of North University of China (Natural Science Edition), 2006, 27 (03): : 258 - 262
  • [32] Guided-wave radar transmitters improve level detection
    Fauveau, E
    Hambrice, K
    MINING ENGINEERING, 2003, 55 (01) : 27 - 28
  • [33] Defect detection and imaging using focused ultrasonic guided waves
    Sicard, R.
    Serhan, H.
    REVIEW OF PROGRESS IN QUANTITATIVE NONDESTRUCTIVE EVALUATION, VOLS 26A AND 26B, 2007, 894 : 185 - +
  • [34] Sparse recovery of multiple dispersive guided-wave modes for defect localization using a Bayesian approach
    Wu, Biao
    Li, Hui
    Huang, Yong
    STRUCTURAL HEALTH MONITORING-AN INTERNATIONAL JOURNAL, 2019, 18 (04): : 1235 - 1252
  • [35] Transmission line model for simulation of guided-wave defect signals in piping
    Choi, MS
    Kim, SY
    Kwun, H
    Light, GM
    IEEE TRANSACTIONS ON ULTRASONICS FERROELECTRICS AND FREQUENCY CONTROL, 2004, 51 (05) : 640 - 643
  • [36] Application of torsional mode of guided waves to long range pipe inspection
    Park, Ik-Keun
    Kim, Yong-Kwon
    Song, Won-Joon
    Cho, Yong-Sang
    EXPERIMENTAL MECHANICS IN NANO AND BIOTECHNOLOGY, PTS 1 AND 2, 2006, 326-328 : 473 - +
  • [37] Guided-wave defect signal simulation based on transmission line model
    Kwun, Hegeon
    Kim, Sang Y.
    REVIEW OF PROGRESS IN QUANTITATIVE NONDESTRUCTIVE EVALUATION, VOL 27A AND 27B, 2008, 975 : 163 - 169
  • [38] Quantification of Corrosion-Like Defects in Pipelines Using Multifrequency Identification of Nondispersive Torsional Guided Waves
    Zhu, Chen
    Xu, Zhao-Dong
    Zang, Xulei
    Xu, Yan-Wei
    Miao, Changqing
    Lu, Yong
    JOURNAL OF ENGINEERING MECHANICS, 2024, 150 (08)
  • [39] A new type transducer for torsional guided wave generation and its application to defect detection in pipes
    Liu, Zenghua
    Wu, Bin
    He, Cunfu
    Wang, Xiuyan
    Yang, Shiming
    Insight: Non-Destructive Testing and Condition Monitoring, 2007, 49 (01): : 41 - 43
  • [40] Optimal sensor configuration for ultrasonic guided-wave inspection based on value of information
    Cantero-Chinchilla, Sergio
    Chiachio, Juan
    Chiachio, Manuel
    Chronopoulos, Dimitrios
    Jones, Arthur
    MECHANICAL SYSTEMS AND SIGNAL PROCESSING, 2020, 135