سال انتشار: ۱۳۸۲

محل انتشار: هجدهمین کنفرانس بین المللی برق

تعداد صفحات: ۹

نویسنده(ها):

Torbatian – Dept. of Electrical Eng. Iran University of Science & Technology Tehran 16844, Iran
Kahaei – Dept. of Electrical Eng. Iran University of Science & Technology Tehran 16844, Iran
Poshtan – Dept. of Electrical Eng. Iran University of Science & Technology Tehran 16844, Iran

چکیده:

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.