271 citations · 1k across the 7 of their papers we have counts for
7 papers
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…
Adaptive support driven Bayesian reweighted algorithm for sparse signal recovery
Junlin Li, Wei Zhou, Cheng Cheng
Sparse learning has been widely studied to capture critical information from enormous data sources in the filed of system identification. Often, it is essential to understand inter…
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…
A Novel GAN-based Fault Diagnosis Approach for Imbalanced Industrial Time Series
Wenqian Jiang, Cheng Cheng, Beitong Zhou +2
This paper proposes a novel fault diagnosis approach based on generative adversarial networks (GAN) for imbalanced industrial time series where normal samples are much larger than…
Wasserstein Distance based Deep Adversarial Transfer Learning for Intelligent Fault Diagnosis
Cheng Cheng, Beitong Zhou, Guijun Ma +2
The demand of artificial intelligent adoption for condition-based maintenance strategy is astonishingly increased over the past few years. Intelligent fault diagnosis is one critic…
A General End-to-end Diagnosis Framework for Manufacturing Systems
Ye Yuan, Guijun Ma, Cheng Cheng +4
The manufacturing sector is envisioned to be heavily influenced by artificial intelligence-based technologies with the extraordinary increases in computational power and data volum…
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…