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Bearing Fault Detection using Morlet Wavelets Fulltext
نويسندهگان:
[ 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
خلاصه مقاله:
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.
كلمات كليدي:
bearing fault detection, level-dependent noise reduction, wavelet transform, Morlet wavelet
[ لينک دايمي به اين صفحه: http://www.civilica.com/Paper-PSC18-PSC18_050.html ]
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