Fault Prediction in Ball Bearing by Using analytical wavelet transform (AWT)

The real-time condition monitoring is an advanced technique that predicts the real conditions of operation of the machinery. A predictive maintenance program includes various rotating machinery condition monitoring techniques of the machine to determine the conditions of failure. Over the past few years there has been a major technological developments related to digital system, including innovations in both hardware and software. In the present work, an experiment is carried out with a customized test setup where the seeded defects are introduced in the inner race and outer race of a radial ball bearing. The relationship between the acquired vibration data and their relation with the seeded defect is found in this paper. When experiment is performed on the test setup designed for Fault prediction, Analytical Wavelet Transform proved an effective tool for the analysis of vibration signal. In this work, AWT followed by the Power Spectral Density is implemented on vibration signals of a defective radial bearing.