Ultrasonic flaw detection using threshold modified S-transform

被引:25
作者
Benammar, Abdessalem [1 ,2 ]
Drai, Redouane [1 ]
Guessoum, Abderrezak [2 ]
机构
[1] Welding & NDT Res Ctr CSC, Cheraga, Algeria
[2] Univ Saad Dahlab Blida, Fac Sci Ingn, Dept Elect, Blida 09000, Algeria
关键词
Flaw detection; Ultrasonic signal; Time-frequency signal analysis; Modified S-transform; WAVELET;
D O I
10.1016/j.ultras.2013.09.004
中图分类号
O42 [声学];
学科分类号
070206 ; 082403 ;
摘要
Interference noising originating from the ultrasonic testing defect signal seriously influences the accuracy of the signal extraction and defect location. Time-frequency analysis methods are mainly used to improve the defects detection resolution. In fact, the S-transform, a hybrid of the Short time Fourier transform (STFT) and wavelet transform (WT), has a time frequency resolution which is far from ideal. In this paper, a new modified S-transform based on thresholding technique, which offers a better time frequency resolution compared to the original S-transform is proposed. The improvement is achieved by the introduction of a new scaling rule for the Gaussian window used in S-transform. Simulation results are presented and show correct time frequency information of multiple Gaussian echoes under low signal-to-noise ratio (SNR) environment. In addition, experimental results demonstrate better and reliable detection of close echoes drowned in the noise. (C) 2013 Elsevier B.V. All rights reserved.
引用
收藏
页码:676 / 683
页数:8
相关论文
共 50 条
  • [11] Improvement of Power Quality Monitoring Based on Modified S-Transform
    Pujiantara, Anissa Eka Marini
    Priyadi, Ardyono
    Pujiantara, Margo
    Penangsang, Pujiantara
    Penangsang, Ontoseno
    Anggriawan, Dimas Okky
    Tjahjono, Anang
    2016 INTERNATIONAL SEMINAR ON INTELLIGENT TECHNOLOGY AND ITS APPLICATIONS (ISITIA): RECENT TRENDS IN INTELLIGENT COMPUTATIONAL TECHNOLOGIES FOR SUSTAINABLE ENERGY, 2016, : 539 - 544
  • [12] Evaluation of the modified S-transform for time-frequency synchrony analysis and source localisation
    Assous, Said
    Boashash, Boualem
    EURASIP JOURNAL ON ADVANCES IN SIGNAL PROCESSING, 2012,
  • [13] Blast Vibration Signal Analysis Using S-Transform
    Teja, V. V. S. Avinash
    Chaitanya, S. Venkata
    Akula, Uday
    Srihari, Pathipati
    Sastry, V. R.
    2016 INTERNATIONAL CONFERENCE ON ELECTRICAL, ELECTRONICS, AND OPTIMIZATION TECHNIQUES (ICEEOT), 2016, : 4182 - 4186
  • [14] Blind Separation of Correlated Sources Based on Modified S-Transform and ICA
    Wei C.
    Zhou Y.
    Li R.
    Yu G.
    Zhendong Ceshi Yu Zhenduan/Journal of Vibration, Measurement and Diagnosis, 2019, 39 (04): : 852 - 859
  • [15] Modified S-transform as a tool to identify secondary structure elements in RNA
    Singh N.
    Sharma S.D.
    Yennamalli R.M.
    Yennamalli, Ragothaman M. (ym.ragothaman@juit.ac.in), 1600, Walter de Gruyter GmbH (13): : 187 - 193
  • [16] Ultrasonic flaw detection in NDE of highly scattering materials using wavelet and Wigner-Ville transform processing
    Rodríguez, MA
    San Emeterio, JL
    Lázaro, JC
    Ramos, A
    ULTRASONICS, 2004, 42 (1-9) : 847 - 851
  • [17] Novel S-transform information fusion for filtering ultrasonic pulse-echo signals
    Kubinyi, Michal
    Kreibich, Ondrej
    Neuzil, Jan
    Smid, Radislav
    PRZEGLAD ELEKTROTECHNICZNY, 2011, 87 (01): : 290 - 295
  • [18] Flaw Detection from Ultrasonic Images using YOLO and SSD
    Posilovic, Luka
    Medak, Duje
    Subasic, Marko
    Petkovic, Tomislav
    Budimir, Marko
    Loncaric, Sven
    PROCEEDINGS OF THE 2019 11TH INTERNATIONAL SYMPOSIUM ON IMAGE AND SIGNAL PROCESSING AND ANALYSIS (ISPA 2019), 2019, : 163 - 168
  • [19] Image Texture Characterization Using the Discrete Orthonormal S-Transform
    Drabycz, Sylvia
    Stockwell, Robert G.
    Mitchell, J. Ross
    JOURNAL OF DIGITAL IMAGING, 2009, 22 (06) : 696 - 708
  • [20] Ultrasonic flaw detection using radial basis function networks (RBFNs)
    Pita, RG
    Vicen, R
    Rosa, M
    Jarabo, MP
    Vera, P
    Curpian, J
    ULTRASONICS, 2004, 42 (1-9) : 361 - 365