Fault Diagnosis of Rotating Machinery Components

Abstract

In this study, an advancing method for enhancing fault diagnosis of bearing systems is developed. Equally an experimental investigation into the diagnosis of bearing under varying operational speeds, utilizing acoustic signals obtained from experiments conducted at the Mechanical Structures Laboratory MSL of Polytechnic Military School, Bordj Elbahri, Algiers is presented. The raw acoustic signals are preprocessed using the Complete Ensemble Empirical Mode Decomposition with Adaptive Noise (CEEMDAN) for the determination of the Intrinsic Mode Functions (IMF) containing the highest energy values, which are then employed for diagnostic purposes.