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Due to the importance of rolling bearings as one of the most populous used industrial machinery elements, development of proper monitoring and fault diagnosis procedure to suppression malfunctioning and failure of these elements during operation is necessary. For rolling bearing fault detection, it is expected that a desired time domain analysis method has good computational efficiency. The point...
A number of techniques for detection of faults in ball bearing using frequency domain approach exist today. For analyzing non-stationary signals arising out of defective rolling element bearings, use of conventional discrete Fourier Transform (DFT) has been known to be less efficient. One of the most suited time-frequency approach; wavelet transform (WT) has inherent problems of large computational...
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