Torbatian - Dept. of Electrical Eng. Iran University of Science & Technology Tehran ۱۶۸۴۴, Iran
Kahaei - Dept. of Electrical Eng. Iran University of Science & Technology Tehran ۱۶۸۴۴, Iran
Poshtan - Dept. of Electrical Eng. Iran University of Science & Technology Tehran ۱۶۸۴۴, Iran

Machine housing vibration signals are used for bearing fault detection. The leveldependent noise reduction technique based on Morlet wavelet is used to extract bearing fault features. The effectiveness of the proposed algorithm is evaluated in detection of bearing outer-race damage for a set of real data. The results clearly show the great potential of the proposed technique in bearing fault detection.

bearing fault detection, level-dependent noise reduction, wavelet transform, Morlet wavelet