Uma abordagem baseada em densidade de máximos para identificação de velocidade e possíveis falhas em motores DC sem escova por meio de sinal de acelerômetro

Abstract

This work presents a technique named Signal Analysis based on Chaos using Density of Maxima (SAC-DM) to analyze brushless DC motors using correlation coefficient obtained from density of maxima of the current signal. This technique demonstrates potential to characterize motors with a simple approach. The proposed approach is compared with the traditional FastFourier Transform and classical chaos analysis based on the correlation coefficient obtained from the length at half-height of the correlation function. The experiments demonstrates similar results but simpler and faster than the two compared approaches