Uncertainty-Controlled Remaining Useful Life Prediction of Bearings with a New Data-Augmentation Strategy

The remaining useful life (RUL) of bearings based on deep learning methods has been increasingly used. However, there are still two obstacles in deep learning RUL prediction: (1) the training process of the deep learning model requires enough data, but run-to-failure data are limited in the actual i...

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Главные авторы:	Ran Wang, Fucheng Yan, Ruyu Shi, Liang Yu, Yingjun Deng
Формат:	Artigo
Язык:	Inglês
Опубликовано:	MDPI AG 2022-11-01
Серии:	Applied Sciences
Предметы:	remaining useful life prediction bearing long short-term memory (LSTM) sequence-wise uncertainty control Wiener process
Online-ссылка:	https://www.mdpi.com/2076-3417/12/21/11086
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