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Time Series Multiple Channel Convolutional Neural Network with Attention-Based Long Short-Term Memory for Predicting Bearing Remaining Useful Life

This paper proposes two deep learning methods for remaining useful life (RUL) prediction of bearings. The methods have the advantageous end-to-end property that they take raw data as input and generate the predicted RUL directly. They are TSMC-CNN, which stands for the time series multiple channel c...

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Detalles Bibliográficos
Autores principales:	Jiang, Jehn-Ruey, Lee, Juei-En, Zeng, Yi-Ming
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	MDPI 2019
Materias:	Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6982940/ https://www.ncbi.nlm.nih.gov/pubmed/31888110 http://dx.doi.org/10.3390/s20010166

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