158 citations · 159 across the 2 of their papers we have counts for
3 papers
eess.SP2021★ 158 cited
A recurrent neural network approach for remaining useful life prediction utilizing a novel trend features construction method
Sen Zhao, Yong Zhang, Shang Wang +2
Data-driven methods for remaining useful life (RUL) prediction normally learn features from a fixed window size of a priori of degradation, which may lead to less accurate predicti…
cs.LG2020★ 1 cited
Ensemble emotion recognizing with multiple modal physiological signals
Jing Zhang, Yong Zhang, Suhua Zhan +1
Physiological signals that provide the objective repression of human affective states are attracted increasing attention in the emotion recognition field. However, the single signa…
cs.LG2018
A deep learning-based remaining useful life prediction approach for bearings
Cheng Cheng, Guijun Ma, Yong Zhang +4
In industrial applications, nearly half the failures of motors are caused by the degradation of rolling element bearings (REBs). Therefore, accurately estimating the remaining usef…