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Guijun Ma
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Remaining useful life prediction of lithium-ion batteries with adaptive unscented kalman filter and optimized support vector regression
Z Xue, Y Zhang, C Cheng, G Ma
Neurocomputing 376, 95-102, 2020
2762020
Remaining useful life prediction of lithium-ion batteries based on false nearest neighbors and a hybrid neural network
G Ma, Y Zhang, C Cheng, B Zhou, P Hu, Y Yuan
Applied Energy 253, 113626, 2019
2522019
Wasserstein distance based deep adversarial transfer learning for intelligent fault diagnosis with unlabeled or insufficient labeled data
C Cheng, B Zhou, G Ma, D Wu, Y Yuan
Neurocomputing 409, 35-45, 2020
2132020
A deep learning-based remaining useful life prediction approach for bearings
C Cheng, G Ma, Y Zhang, M Sun, F Teng, H Ding, Y Yuan
IEEE/ASME Transactions on Mechatronics 25 (3), 1243-1254, 2020
1352020
A general end-to-end diagnosis framework for manufacturing systems
Y Yuan, G Ma, C Cheng, B Zhou, H Zhao, HT Zhang, H Ding
National Science Review 7 (2), 418-429, 2020
131*2020
Health status assessment and remaining useful life prediction of aero-engine based on BiGRU and MMoE
Y Zhang, Y Xin, Z Liu, M Chi, G Ma
Reliability Engineering & System Safety 220, 108263, 2022
1002022
Real-time personalized health status prediction of lithium-ion batteries using deep transfer learning
G Ma, S Xu, B Jiang, C Cheng, X Yang, Y Shen, T Yang, Y Huang, H Ding, ...
Energy & Environmental Science 15 (10), 4083-4094, 2022
522022
Data fusion generative adversarial network for multi-class imbalanced fault diagnosis of rotating machinery
Q Liu, G Ma, C Cheng
IEEE Access 8, 70111-70124, 2020
382020
A Transfer Learning-Based Method for Personalized State of Health Estimation of Lithium-Ion Batteries
G Ma, S Xu, T Yang, Z Du, L Zhu, H Ding, Y Yuan
IEEE Transactions on Neural Networks and Learning Systems, 2022
342022
An Overview of Data-driven Battery Health Estimation Technology for Battery Management System
M Chen, G Ma, W Liu, N Zeng, X Luo
Neurocomputing, 2023
252023
Fault detection of lithium-ion battery packs with a graph-based method
G Ma, S Xu, C Cheng
Journal of Energy Storage 43, 103209, 2021
242021
Remaining useful life prediction of lithium-ion battery based on attention mechanism with positional encoding
B Zhou, C Cheng, G Ma, Y Zhang
IOP Conference Series: Materials Science and Engineering 895 (1), 012006, 2020
212020
A novel gan-based fault diagnosis approach for imbalanced industrial time series
W Jiang, C Cheng, B Zhou, G Ma, Y Yuan
arXiv preprint arXiv:1904.00575, 2019
212019
A two-stage integrated method for early prediction of remaining useful life of lithium-ion batteries
G Ma, Z Wang, W Liu, J Fang, Y Zhang, H Ding, Y Yuan
Knowledge-Based Systems 259, 110012, 2023
192023
Online bearing remaining useful life prediction based on a novel degradation indicator and convolutional neural networks
C Cheng, G Ma, Y Zhang, M Sun, F Teng, H Ding, Y Yuan
arXiv preprint arXiv:1812.03315, 2018
152018
Data-driven discovery of stochastic differential equations
Y Wang, H Fang, J Jin, G Ma, X He, X Dai, Z Yue, C Cheng, HT Zhang, ...
Engineering 17, 244-252, 2022
132022
State of health estimation for lithium-ion batteries with dynamic time warping and deep kernel learning model
P Hu, G Ma, Y Zhang, C Cheng, B Zhou, Y Yuan
2020 European Control Conference (ECC), 602-607, 2020
112020
Estimating the State of Health for Lithium-ion Batteries: A Particle Swarm Optimization-Assisted Deep Domain Adaptation Approach
G Ma, Z Wang, W Liu, J Fang, Y Zhang, H Ding, Y Yuan
IEEE/CAA Journal of Automatica Sinica 10 (7), 1530-1543, 2023
52023
Generative Adversarial Network Based Multi-class Imbalanced Fault Diagnosis of Rolling Bearing
Q Liu, G Ma, C Cheng
2019 4th International Conference on System Reliability and Safety (ICSRS …, 2019
32019
The Dataset for: Real-time personalized health status prediction of lithium-ion batteries using deep transfer learning
Y Yuan, G Ma, S Xu
Mendeley Data, 2022
22022
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