Caracterización de vibraciones mecánicas en una estructura metálica utilizando el análisis cepstrum

Abstract

This proposal for engineering degree at the Antonio Nariño University (UAN) adequately characterizes and correlates the effects generated by inducing mechanical vibrations on a metal structure, as a means of determining or predicting potential alterations or failures in civil or industrial structures, using vibration sensors (piezoelectric), experimental information capture software (Labview) and the application of wave signal processing and classification tools.

Previous works developed at the UAN since 2015 using signal processing techniques such as Fourier and Wavelet, show indications on the relationship between the processed signals and the structural alterations of the different tests. This time through the use of Cepstrum analysis as an alternative tool for processing mechanical signals. Complementary to the use of a dissimilarity technique (Euclidean distance) for the evaluation of the homogeneity of the data, it has allowed to show deviations that can be linked to structural defects of a metallic reinforcement at laboratory level. The use of the Cepstrum tool at an experimental level under a greater range of tests on various types of defects, will undoubtedly allow the implementation of the bases to encourage both academic and commercial development of tools or techniques for remote inspection of static equipment, which Will be of great utility for society.