Real-Time Bearing Remaining Useful Life Estimation Based on the Frozen Convolutional and Activated Memory Neural Network

Real-Time Bearing Remaining Useful Life Estimation Based on the Frozen Convolutional and Activated Memory Neural Network

Bearings are widely used in rotating machinery, such as aircraft engines and wind turbines. In this paper, we proposed a new data-driven method called frozen convolution and activated memory network (FCAMN) for bearing remaining useful life (RUL) estimation based on the deep neural network. The prop...

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Bibliographic Details
Main Authors:	Zesheng Chen, Xiaotong Tu, Yue Hu, Fucai Li
Format:	Article
Language:	English
Published:	IEEE 2019-01-01
Series:	IEEE Access
Subjects:	Bearings remaining useful life estimation multi-scale convolutional network long short time memory neural network
Online Access:	https://ieeexplore.ieee.org/document/8764550/

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