Bearing Fault Detection using Morlet Wavelets
عنوان مقاله: Bearing Fault Detection using Morlet Wavelets
شناسه ملی مقاله: PSC18_050
منتشر شده در هجدهمین کنفرانس بین المللی برق در سال 1382
شناسه ملی مقاله: PSC18_050
منتشر شده در هجدهمین کنفرانس بین المللی برق در سال 1382
مشخصات نویسندگان مقاله:
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
خلاصه مقاله:
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.
کلمات کلیدی: bearing fault detection, level-dependent noise reduction, wavelet transform, Morlet wavelet
صفحه اختصاصی مقاله و دریافت فایل کامل: https://civilica.com/doc/32350/