Fault features extraction for bearing prognostics

This paper describes a newly developed fault feature extraction method for bearing prognostics. The effectiveness of the method is demonstrated with real bearing run-to-failure test data. Experimental results show that with the growth of the bearing defective area, the method is able to indicate clearer trends than the traditional condition indicators, such as RMS, the peak value, the amplitude of the Fourier spectrum at the bearing fault characteristic frequencies.