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Construct a health indicator for bearing based on unsupervised SDAE with Euclidean distance

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Journal of Vibration and Control

Published online on

Abstract

Journal of Vibration and Control, Ahead of Print.
Rolling bearings are critical components in machinery, directly affecting performance and lifespan. Traditional fault diagnosis methods rely on expert knowledge, whereas bearing data are often unlabeled and noisy. This paper proposes an unsupervised ...