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ICA Model Applied to Multichannel Non-destructive Evaluation by Impact-Echo

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Independent Component Analysis and Blind Signal Separation (ICA 2004)

Abstract

This article presents an ICA model for applying in Non Destructive Testing by Impact-Echo. The approach consists in considering flaws inside the material as sources for blind separation using ICA. A material is excited by a hammer impact and a convolutive mixture is sensed by a multichannel system. Obtained information is used for classifying in defective or non defective material. Results based on simulation by finite element method are presented, including different defect geometry and location.

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References

  1. Sansalone, M., Streett, W.B.: Impact-echo: Non-destructive evaluation of concrete and masonry, June 1997. Bullbrier Press, USA (1997)

    Google Scholar 

  2. Vergara, L., Gosálbez, J., Fuente, J., Miralles, R., Bosch, I., Salazar, A., López, A., Domínguez, L.: Ultrasonic Nondestructive testing on Marble Block Rocks, Materials Evaluation. Ed. American Society for Nondestructive Testing 62(1), 73–78 (2004)

    Google Scholar 

  3. Hyvärinen, A.: Independent Component Analysis. John Wiley & Sons, Chichester (2001)

    Book  Google Scholar 

  4. Cichocki, A., Amari, S.: Adaptive Blind Signal and Image Processing: Learning algorithms and applications. Wiley, John & Sons (2001)

    Google Scholar 

  5. Cheeke, J.D.: Fundamentals and Applications of Ultrasonic Waves. CRC Press LLC, USA (2002)

    Google Scholar 

  6. Abraham, O., Leonard, C., Côte, P., Piwakowski, B.: Time-frequency Analysis of Impact_Echo Signals: Numerical Modeling and Experimental Validation. ACI Materials Journal 97(6), 645–657 (2000)

    Google Scholar 

  7. Cardoso, J.F., Laheld, B.: Equivariant adaptive source separation. IEEE Trans. On Signal Processing 45(2), 434–444 (1996)

    Google Scholar 

  8. Lambert, R.: Multichannel blind deconvolution: FIR matrix algebra and separation of multipath mixtures. PhD. thesis at Faculty of Graduate School University of Southern California (1996)

    Google Scholar 

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© 2004 Springer-Verlag Berlin Heidelberg

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Salazar, A., Vergara, L., Igual, J., Gosálbez, J., Miralles, R. (2004). ICA Model Applied to Multichannel Non-destructive Evaluation by Impact-Echo. In: Puntonet, C.G., Prieto, A. (eds) Independent Component Analysis and Blind Signal Separation. ICA 2004. Lecture Notes in Computer Science, vol 3195. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-30110-3_60

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  • DOI: https://doi.org/10.1007/978-3-540-30110-3_60

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-23056-4

  • Online ISBN: 978-3-540-30110-3

  • eBook Packages: Springer Book Archive

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