3 papers
cs.LG2024
Utilizing Autoregressive Networks for Full Lifecycle Data Generation of Rolling Bearings for RUL Prediction
Junliang Wang, Qinghua Zhang, Guanhua Zhu +1
The prediction of rolling bearing lifespan is of significant importance in industrial production. However, the scarcity of high-quality, full lifecycle data has been a major constr…
cs.LG2023
Utilizing Multiple Inputs Autoregressive Models for Bearing Remaining Useful Life Prediction
Junliang Wang, Qinghua Zhang, Guanhua Zhu +1
Accurate prediction of the Remaining Useful Life (RUL) of rolling bearings is crucial in industrial production, yet existing models often struggle with limited generalization capab…
cs.LG2023
Utilizing VQ-VAE for End-to-End Health Indicator Generation in Predicting Rolling Bearing RUL
Junliang Wang, Qinghua Zhang, Guanhua Zhu +1
The prediction of the remaining useful life (RUL) of rolling bearings is a pivotal issue in industrial production. A crucial approach to tackling this issue involves transforming v…