Diagnosis of rotating machine defects by vibration analysis
Keywords:Vibration signal, kurtosis, FMD, Hilbert transform, filtering
This work presents the analysis of the vibration signals of a ball bearing, the signals available on the platform Case Western Reserve University in the form of MATLAB files. By proposing an approach for the diagnosis of any rotating machine and detects the failed components in a simple way, the proposed approach consists of several methods and steps each complementary to the other. First on decomposing the signal by the feature mode decomposition (FMD) method and then, according to the Kurtosis values by selecting the useful signals after the selection by computing the sum of the useful signals called the residual of the original signal. The simplicity of the form of the residual makes through the application of band pass filtering and Hilbert transform, but the analysis of the peaks represents the frequency of the failed components.
Copyright (c) 2023 Karim Bouaouiche, Yamina Menasria, Dalila Khalfa
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