·Home
·Table of Contents
·Methods and Instrumentation

Automatic Analysis of Acoustic Emission Signals

G. Vargas, S. I. Isaacson, C. E. D'Attellis
Facultad de Ingeniería, Universidad de Buenos Aires
Paseo Colón 850, 1063-Buenos Aires, Argentina.
E-mail: sisaacs@tron.fi.uba.ar
J. Ruzzante, I. López Pumarega
Centro Atómico Constituyentes - C.N.E.A.
Av.Gral. Paz 1499, 1650-San Martín, Buenos Aires, Argentina.
R. Piotrkowski
Escuela de Ciencia y Tecnología
Universidad Nac. de Gral. San Martín, Buenos Aires, Argentina.
Contact

Abstract

Introduction

The Kalman filtering technique as estimator

The Wavelet Technique

Simulations

Experimental case

Results

Conclusions

References

  1. B. Frielander and B. Porat: " Detection of transient signals by Gabor representation"; IEEE Trans Acousr Speech Signal Processing, Vol 37, 2, pp 169-180, 1989.
  2. C.E. D'Attellis, L.V. Pérez, D.Rubio and J.E.Ruzzante: "Parameter estimation in acoustic emission signals", Journal of Acoustic Emission, Vol. 10 nro.3/4, 1992.
  3. C.E. D'Attellis, L.V. Pérez, D.Rubio and J.E.Ruzzante: "A bank of Kalman filters for fairlure detection using acoustic emission signals", Non-Destructive Testing "92", C Hallai and P. Kulcsar (Editors), pp 29-33, Elsevier Pub, 1992.
  4. L.V. Pérez, G.E. D'Attellls and J.E.Ruzzante: "A model for acoustic emission signals and burst occurrence estimation", The British Institute of Non-Destructive Testing, INSIGHT vol 39, 2 1997.
  5. E.P. Serrano and M. Fabjo:" Application of wavelet transform to acoustic emission signal pro­cessing"; IEEE Tras. Signal Processing, Vol 44, 5, pp 1270-1275, 1996.
  6. Oh-Yang Kwon and Young-Chan Joo: "Source location in Highly Dispersive Media by Wavelet Transform of Acoustic Emission signal", Journal of Acoustic Emission , Vol 15, 1-4, pp si-slO, 1997.
  7. H.Suznki, T. Kinjo, Y. Hayashi, M.Takemoto and K. Ono: " Wavelet Transform of AE signals", Journal of AE, Vol 14 nro. 2, pp69-84, 1996.
  8. D. Mitrakovic, I. Grave and S. Sedmak : "Simulation of AE signals and signal analysis system"; Ultrasonic, Vol 23, pp 227-232, 1985.
  9. S. Mallat: "A Theory for multiresolution signal decomposition: the wavelet representation"; IEEE Pattern Anal. and Machine Intell., vol 11 nro. 7 pp 674-693, 1989.
  10. I.Daubechies: "Ten Lectures on Wavelets". SIAM, Philadelphia USA, 1992.
  11. Chui C.K.: "An Introduction to Wavelets". San Diego: Academic Press, 1992.
  12. Unser M., Aidroubi A., Eden M.: "A family of polinomial spline wavelet transforms"; Signal Processing, Vol. 30, pp 141-162, 1993.
  13. S.G. Mallat :" Multirresolution approximations and wavelets orthogonal bases of L2(R)"; 1.Yans. Amer. Math. Soc., Vol. 135, pp. 69-87, 1989.
  14. V. Venkatesh and J.R. Hoghton:"Neural Network Approach to AE Source Location" ;Journal of acoustic Emission, Vol 14, nro.2,pp 61-68, 1996.
  15. S Jha and T. Durrani: "Direction of Arrival Estimation Using Artificial Neural Networks"; IEEE Trans on System, Man and Cybernetics, Vol 21, nro.5, 1991.
  16. 5. Keyvan and J. Nagaraj: "Pattern Recognition of AE signatures using ART2-A Neural-Network"; Journal of Acoustic Eipission, vol 14 nro.2 pp 97-102, 1996.

© AIPnD , created by NDT.net |Home|    |Top|