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A gear fault diagnosis method for wind turbines based on HDDL and ConvNeXt under limited sample conditions

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Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science

Published online on

Abstract

Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science, Ahead of Print.
Wind turbines operating under complex conditions endure variable loads. As the primary transmission component, the gearbox is highly susceptible to damage, making fault diagnosis crucial. However, neural networks require substantial data for training ...