Multi resolution analysis for bearing fault diagnosis

Abstract

A wavelet-based vibration analysis was done for Defense Applications. Vibration measurements were carried out in MSL Engine test bed in order to verify that it meets the specifications at different load conditions. Such measurements are often carried out in connection with troubleshooting in order to determine whether vibration levels are within acceptable limits at given engine speeds and maneuvers. A State-of-the-art portable Vibration Data Recorder is used for data acquisition of real-world signals. This paper is intended to take the reader through the various stages in a signal processing of the vibration data using modern digital technology. Vibration signals are post-analyzed using Wavelet Transform for data mining of the vibration signal observed from accelerometers. Wavelet Transform (WT) techniques are applied to decipher vibration characteristics due to Engine excitation to diagnose the faulty bearing. The Time-Scale analysis by WT achieves a comparable accuracy than Fast Fourier Transform (FFT) while having a lower computational cost with fast predictive capability. The result from wavelet analysis is validated using the LabVIEW software.