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• W2477686768 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." @default.
• W2477686768 created "2016-08-23" @default.
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• W2477686768 date "2015-12-01" @default.
• W2477686768 modified "2023-09-27" @default.
• W2477686768 title "Wind turbine high-speed shaft bearing degradation analysis for run-to-failure testing using spectral kurtosis" @default.
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• W2477686768 doi "https://doi.org/10.1109/sta.2015.7505124" @default.
• W2477686768 hasPublicationYear "2015" @default.
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