DocumentCode :
3779093
Title :
Wind turbine high-speed shaft bearing degradation analysis for run-to-failure testing using spectral kurtosis
Author :
Lotfi Saidi;Eric Bechhoefer;Jaouher Ben Ali;Mohamed Benbouzid
Author_Institution :
University of Tunis, ENSIT- Laboratory of Signal Image and Energy Mastery (SIME), LR 13ES03, 1008, Tunisia
fYear :
2015
Firstpage :
267
Lastpage :
272
Abstract :
Premature failures of wind turbine gearboxes increase the price of energy and affect their reliability. Most gearbox failures initiate in bearings. High-speed bearings and planetary bearings exhibit a high rate of premature failure. A critical work of bearing fault diagnosis is finding the optimum frequency band that covers faulty bearing signal, which is a challenging task in practice. The kurtogram is a high technic used to characterize non-stationarities hidden in a signal. Thus, allows responding to the given problem. It consists to determine the central frequency (resonance) and the appropriate bandwidth witch maximizes the kurtosis. This paper addresses a squared envelope based spectral kurtosis method diagnosis for skidding in high-speed shaft bearings. We have verified the potential of the spectral kurtosis diagnostic strategy in performance improvements for single-defect diagnosis using real measured data from a drive train wind turbine.
Keywords :
"Shafts","Blades","Generators","Wind turbines","Rotors","Vibrations","Maintenance engineering"
Publisher :
ieee
Conference_Titel :
Sciences and Techniques of Automatic Control and Computer Engineering (STA), 2015 16th International Conference on
Type :
conf
DOI :
10.1109/STA.2015.7505124
Filename :
7505124
Link To Document :
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