Advanced signal processing techniques to improve prognostic models for rolling element bearings. Novel signal processing techniques for predicting the development of faults in rolling element bearings will be developed and employed in a statistical prognostic model. This will greatly improve the economics of operation of many different machines, including helicopters and other aircraft, mining machinery, and wind turbines.