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Article:Comparative Investigation of Split Spectrum Processing over Classical Approach of Filtering for Non-Linear & Non-Stationary Signals

by S. Muthumari, K.Vijayarekha, Amrit Chatterjee
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 10 - Number 3
Year of Publication: 2010
Authors: S. Muthumari, K.Vijayarekha, Amrit Chatterjee
10.5120/1459-1973

S. Muthumari, K.Vijayarekha, Amrit Chatterjee . Article:Comparative Investigation of Split Spectrum Processing over Classical Approach of Filtering for Non-Linear & Non-Stationary Signals. International Journal of Computer Applications. 10, 3 ( November 2010), 35-38. DOI=10.5120/1459-1973

@article{ 10.5120/1459-1973,
author = { S. Muthumari, K.Vijayarekha, Amrit Chatterjee },
title = { Article:Comparative Investigation of Split Spectrum Processing over Classical Approach of Filtering for Non-Linear & Non-Stationary Signals },
journal = { International Journal of Computer Applications },
issue_date = { November 2010 },
volume = { 10 },
number = { 3 },
month = { November },
year = { 2010 },
issn = { 0975-8887 },
pages = { 35-38 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume10/number3/1459-1973/ },
doi = { 10.5120/1459-1973 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T19:58:48.400408+05:30
%A S. Muthumari
%A K.Vijayarekha
%A Amrit Chatterjee
%T Article:Comparative Investigation of Split Spectrum Processing over Classical Approach of Filtering for Non-Linear & Non-Stationary Signals
%J International Journal of Computer Applications
%@ 0975-8887
%V 10
%N 3
%P 35-38
%D 2010
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Ultrasonic welding defect signals are not processed, they are very difficult to identify the pattern of the defect, especially the TOFD welding defect signals are often mixed with noise and lead to confusion between grain noise and small flaws. It is very difficult to interpret the result defect and noise due to larger grain noise. This paper describes the comparative study of matlab simulation results of classic approach signal processing methodology and Split Spectrum Processing (SSP) with the Polarity Thresholding algorithm (PT) to the TOFD welding defect. A-scan signals are used to enhance SNR while suppressing the grain noise. The simulation results show that the welding defect TOFD signals after the SSP investigation are the best and produce the qualified output.

References
  1. J.Kim, L.udpa, S.Udpa.2001.Multistage adaptive noise cancellation for ultrasonic NDE; NDT&E international; 34; 319-328.
  2. Bilgutay N.M, Bencharit U, Saniie J. 2002. Enhanced ultrasonic imaging with split-spectrum processing and polarity thresholding. Acoustics, Speech and Signal Processing, IEEE Transactions; 37(10); 1590 – 1592.
  3. I. C. da Silva, M. H. S. Siqueira,D.P.M. Oliveira,R. R. da Silva, A. A. de Carvalho, J. M. A. Rebello.2002. Automatic Inspection using the TOFD Technique and Neural Networks; 8 ECNDT Barcelona.
  4. A. Lhe´mery, P. Calmon, I. Lecoeur-Taı¨bi, R. Raillon, L. Paradis.2000.Modeling tools for ultrasonic inspection of welds; NDT&E International 33. 499–513.
  5. Miguel Angel Rodrı´guez-Herna´ndez.2003.Ultrasonic non-destructive evaluation with spatial combination of Wigner- Ville Transforms; NDT&E International 36. 441–445
  6. Time of flight diffraction, ultrasonic testing, website: www.nde.com/tofd.htm
  7. Philippe Rubbers, Charles John Pritchard. Aug 2003. An overview of Split Spectrum Processing; NDT.net, 8(8); www.ndt.net/article/v08n08/rubbers/rubbers.htm
  8. DRAI Redouane, Khelil Mohamed & Benchaala Amar. Flaw Detection in Ultrasonics Using Wavelets Transform and Split Spectrum Processing. www.ndt.net/article/wcndt00/papers/idn589/idn589.htm
  9. G Baskaran, C Lakshmana Rao and K Balasubramaniam. November 2007. Simulation of the TOFD technique using the finite element method, Insight 49(11).
  10. . Wladyslaw michnowski, Rafal MIS, Jaroslaw mierzwa, Grzegorz Latarowski zbm ultra. 25-28 Oct 2008. Ultrasonic Examination of Difficult Welds, 17th World Conference on Nondestructive Testing, Shanghai, China
  11. Eurico J. D'Sa K. R. Ramakrishnan, P. Krause, Defect Detection In Ultrasonic Images, CH2766-4/89/0000–0577,IEEE.
Index Terms

Computer Science
Information Sciences

Keywords

Split spectrum processing (SSP) Time of Flight Diffraction (TOFD) Signal to Noise Ratio (SNR) Non Destructive Evaluation (NDE) Low pass filter

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