Just Another Attention Network for Remaining Useful Life Prediction of Rolling Element Bearings
Rotating equipment often fails due to faults in the rolling element bearings. The remaining useful life (RUL) prediction of the bearings plays a critical role in prognostics and decision-makers. In this study, attention mechanism is integrated into the internal of just another network (JANET) unit,...
Main Authors: | Gangjin Huang, Shungang Hua, Qiang Zhou, Hongkun Li, Yuanliang Zhang |
---|---|
Format: | Article |
Language: | English |
Published: |
IEEE
2020-01-01
|
Series: | IEEE Access |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/9252085/ |
Similar Items
-
A Reliable Prognosis Approach for Degradation Evaluation of Rolling Bearing Using MCLSTM
by: Gangjin Huang, et al.
Published: (2020-03-01) -
Remaining Useful Life Prediction Model for Rolling Bearings Based on MFPE–MACNN
by: Ge, J., et al.
Published: (2022) -
Remaining Useful Life Prediction of Rolling Element Bearings Using Supervised Machine Learning
by: Xiaochuan Li, et al.
Published: (2019-07-01) -
A Framework for Predicting Remaining Useful Life Curve of Rolling Bearings Under Defect Progression Based on Neural Network and Bayesian Method
by: Masashi Kitai, et al.
Published: (2021-01-01) -
Remaining Useful Life Prediction of Rolling Bearings Based on RMS-MAVE and Dynamic Exponential Regression Model
by: Xuefeng Kong, et al.
Published: (2019-01-01)