Journal of the Korean Society for Nondestructive Testing (비파괴검사학회지)

The Korean Society for Nondestructive Testing (한국비파괴검사학회)
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SAFT Based Imaging and Centroid Technique for Classification of UT Signals from the Steam Generator of a Nuclear Power Plant

  • Kim, Dae-Won (Department of Multimedia Engineering, Division of Computer Engineering, Dankook University)
  • Published : 2008.06.30
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Abstract

Many technical methods are used for nondestructive testing field for solid materials. Among those, ultrasonic inspection methods are widely used and one of the popular methods involves the extraction of an appropriate set of features followed by the use of a neural network for the classification of the signals in the feature space. This paper describes an approach which uses LMS method to determine the coordinates of the ultrasonic probe followed by the use of SAFT with centroid technique to estimate the location of the ultrasonic reflector. The method is employed for classifying UT-NDE signals from the steam generator tubes in a nuclear power plant. The classification results are presented for the ultrasonic signals from cracks and deposits within steam generator tubes.

Keywords

References

  1. Demirli, R. and Saniie, J. (2001) Model-Based Estimation of Ultrasonic Echoes Part II:Nondestructive Evaluation Applications, IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control, Vol. 48. No. 3, pp. 803-811 https://doi.org/10.1109/58.920714
  2. Du-Yih, T. (1998) Classification of Heart Diseases in Ultrasonic Images Using Neural Networks Trained by Genetic Algorithms, Proceedings of the Fourth International Conference on Signal Processing, Vol. 2, pp. 1213-1216
  3. Hayt, W. H. (1989) Engineering Electromagnetics, McGraw-Hill Book Company, New York, USA, pp. 125-128
  4. Khan, A. (2001) Defect Classification for Steam Generator Tubes of a Nuclear Power Plant Using Ultrasonic Nondestructive Techniques, M. S. Thesis, Iowa State University, Ames, IA, USA, pp. 23-26
  5. Masri, W., Mina, M., Udpa, S. S., Udpa, L. and Lord, W. (1994) Synthetic Aperture Focusing Technique Using the Envelope Function for Ultrasonic Imaging, Review of Progress in Quantitative NDE, Vol. 14A, pp. 909-914
  6. Polikar, R., Udpa, L., Udpa, S. S. and Taylor, T. (1998) Frequency Invariant Classification of Ultrasonic Weld Inspection Signals, IEEE Transactions on Ultrasonics, Ferroelectrics and Frequency Control, Vol. 45, No. 3, pp. 614-625 https://doi.org/10.1109/58.677606
  7. Schmerr, L. W. Jr. (1998) Fundamentals of Ultrasonic Nondestructive Evaluation, Plenum Publishing Corporation, New York, USA, pp. 167-169
  8. Solo, V. and Kong, X. (1995) Adaptive Signal Processing Algorithms, Prentice Hall, New York, USA, pp. 56-58
  9. Taxt, T. (2001) Three-Dimensional Blind Deconvolution of Ultrasound Images, IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control, Vol. 48, No. 4, pp. 867-871 https://doi.org/10.1109/58.935702
  10. Vetterli, M. and Kovacevic J. (1995) Wavelets and Subband Coding, Prentice Hall PTR, New York, USA, pp. 78-79