Prediction of Remaining Service Life of Rolling Bearings Based on Convolutional and Bidirectional Long- and Short-Term Memory Neural Networks

Predicting the remaining useful life (RUL) of a bearing can prevent sudden downtime of rotating machinery, thereby improving economic efficiency and protecting human safety. Two important steps in RUL prediction are the construction of a health indicator (HI) and the prediction of life. Traditional...

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Bibliografski detalji

Glavni autori:	Zhidan Zhong, Yao Zhao, Aoyu Yang, Haobo Zhang, Zhihui Zhang
Format:	Artigo
Jezik:	Inglês
Izdano:	MDPI AG 2022-07-01
Serija:	Lubricants
Teme:	wavelet packet transform kernel principal component analysis remaining service life of rolling bearings convolutional neural network bidirectional long- and short-term memory neural network
Online pristup:	https://www.mdpi.com/2075-4442/10/8/170
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