RECONHECIMENTO DE FALHAS ESTRUTURAIS UTILIZANDO SISTEMA IMUNOLOGICO ARTIFICIAL WAVELET
Keywords:
Sistemas Imunológicos Artificiais, Transformada Wavelet, Rotores DinâmicosAbstract
This work presents a novel approach for monitoring the structural integrity of a dynamic rotor basead in a intelligent methodology combined with a mathematical transform, the Wavelet artificial immune system. The combination of the artificial immune system with the Wavelet transform generates an innovative tool to perform the identification, localization and classification of structural failures. Through this methodology, industrial machine designs are developed to meet these needs, reducing failures and anticipating errors found in operating machines. An emerging area of machine designs are rotating machines also called dynamic rotors, which are applied to aircraft turbines, steam turbines for the production of electrical energy, turbo-compressors, among others. To validate this methodology, experimental data are collected, and from this, different situations (normal condition and fault conditions) are generated, obtaining a database of signals, which were analyzed by the proposed method. The results obtained by the Wavelet Artificial Immune System are efficient and robust.
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