Beitong Zhou

发表

A GAN-Based Anomaly Detection Approach for Imbalanced Industrial Time Series

Yang Hong, Wenqian Jiang, Beitong Zhou, 2019, IEEE Access.

A recurrent neural network approach for remaining useful life prediction utilizing a novel trend features construction method

Yong Zhang, Cheng Cheng, Beitong Zhou, 2019, Measurement.

Artificial Intelligent Diagnosis and Monitoring in Manufacturing pdf

Cheng Cheng, Han Ding, Ye Yuan, 2019, ArXiv.

pbSGD: Powered Stochastic Gradient Descent Methods for Accelerated Non-Convex Optimization

Claire J. Tomlin, Ye Yuan, Beitong Zhou, 2020, IJCAI.

State of health estimation for lithium-ion batteries with dynamic time warping and deep kernel learning model

Yong Zhang, Ye Yuan, Beitong Zhou, 2020, 2020 European Control Conference (ECC).

Wasserstein Distance based Deep Adversarial Transfer Learning for Intelligent Fault Diagnosis

Dongrui Wu, Cheng Cheng, Ye Yuan, 2019, Neurocomputing.

Remaining useful life prediction of lithium-ion batteries based on false nearest neighbors and a hybrid neural network

Beitong Zhou, Yong Zhang, Cheng Cheng, 2019, Applied Energy.

A GAN-Based Anomaly Detection Approach for Imbalanced Industrial Time Series pdf

Cheng Cheng, Ye Yuan, Beitong Zhou, 2019, IEEE Access.

Remaining Useful Life Prediction of Lithium-ion Battery based on Attention Mechanism with Positional Encoding

Yong Zhang, Beitong Zhou, Cheng Cheng, 2020, IOP Conference Series: Materials Science and Engineering.

A general end-to-end diagnosis framework for manufacturing systems

Cheng Cheng, Huan Zhao, Ye Yuan, 2019 .