Deep Spatiotemporal Convolutional-Neural-Network-Based Remaining Useful Life Estimation of Bearings

Deep Spatiotemporal Convolutional-Neural-Network-Based Remaining Useful Life Estimation of Bearings

Abstract The remaining useful life (RUL) estimation of bearings is critical for ensuring the reliability of mechanical systems. Owing to the rapid development of deep learning methods, a multitude of data-driven RUL estimation approaches have been proposed recently. However, the following problems r...

Full description

Bibliographic Details
Main Authors: Xu Wang, Tianyang Wang, Anbo Ming, Qinkai Han, Fulei Chu, Wei Zhang, Aihua Li
Format: Article
Language:English
Published: SpringerOpen 2021-06-01
Series:Chinese Journal of Mechanical Engineering
Subjects:
Bearing
Remaining useful life
Continuous wavelet transform
Convolution neural network
Gaussian process regression
Online Access:https://doi.org/10.1186/s10033-021-00576-1

Internet

https://doi.org/10.1186/s10033-021-00576-1

Similar Items