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Application of ICAMM to Impact-Echo Testing

  • Addisson Salazar
Chapter
Part of the Springer Theses book series (Springer Theses, volume 4)

Abstract

Having information about the condition of a material is an important issue for many industries. This is especially valued if the applied procedure is not time-consuming and is easy to employ in the production line. This is the case of the so-called impact-echo method, which is simply based on making an impact in the material being analyzed. Nevertheless, the impact-echo method is essentially limited to obtaining information about the general status of the specimen. When more detailed information is required (e.g. kind, orientation, and dimension of the defects), other time-consuming and more costly methods, like ultrasonic tomography, are required. In this work, we aim to improve the capability of the impact-echo technique in order to derive more detailed information about the possible defects of the material.

Keywords

Linear Discriminant Analysis Independent Component Analysis Discrete Fourier Transform Blind Source Separation Independent Component Analysis Algorithm 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  1. 1.Department of Communications, School of Telecommunication EngineeringPolytechnic University of ValenciaValenciaSpain

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