Application of empirical mode decomposition and artificial neural network for automatic bearing fault diagnosis based on vibration signals

Proposed method based on run-to-failure vibration signals can reliably categorize bearing defects and potential application of ANN as effective tool for automatic bearing performance degradation assessment without human intervention is shown.