Abstract: Accurate prediction of the remaining useful life (RUL) of bearings is critical for optimizing maintenance strategies, preventing unexpected failures, and enhancing repair management. Despite ...
Abstract: Traditional machine-learning approaches face limitations when confronted with insufficient data. Transfer learning addresses this by leveraging knowledge from closely related domains. The ...
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