Следене
Shixiang Lu
Shixiang Lu
Northeast Petroleum University; Hefei University of technology
Потвърден имейл адрес: mail.hfut.edu.cn
Заглавие
Позовавания
Позовавания
Година
Class-imbalance privacy-preserving federated learning for decentralized fault diagnosis with biometric authentication
S Lu, Z Gao, Q Xu, C Jiang, A Zhang, X Wang
IEEE Transactions on industrial informatics 18 (12), 9101-9111, 2022
1102022
Imbalanced fault diagnosis of rotating machinery via multi-domain feature extraction and cost-sensitive learning
Q Xu, S Lu, W Jia, C Jiang
Journal of Intelligent Manufacturing 31 (6), 1467-1481, 2020
972020
Probabilistic load forecasting with a non-crossing sparse-group Lasso-quantile regression deep neural network
S Lu, Q Xu, C Jiang, Y Liu, A Kusiak
Energy 242, 122955, 2022
372022
The fault frequency priors fusion deep learning framework with application to fault diagnosis of offshore wind turbines
T Xie, Q Xu, C Jiang, S Lu, X Wang
Renewable Energy 202, 143-153, 2023
362023
Adaptive fault detection in wind turbine via RF and CUSUM
Q Xu, S Lu, Z Zhai, C Jiang
IET Renewable Power Generation 14 (10), 1789-1796, 2020
282020
Event-triggered federated learning for fault diagnosis of offshore wind turbines with decentralized data
S Lu, Z Gao, P Zhang, Q Xu, T Xie, A Zhang
IEEE Transactions on Automation Science and Engineering 21 (2), 1271-1283, 2023
142023
Remaining useful life prediction via interactive attention-based deep spatio-temporal network fusing multisource information
S Lu, Z Gao, Q Xu, C Jiang, T Xie, A Zhang
IEEE Transactions on Industrial Electronics 71 (7), 8007-8016, 2023
62023
Physics-guided TL-LSTM network for early-stage degradation trajectory prediction of lithium-ion batteries
Q Liu, Z Shang, S Lu, Y Liu, Y Liu, S Yu
Journal of Energy Storage 106, 114736, 2025
42025
A novel local linear embedding algorithm via local mutual representation for bearing fault diagnosis
Y Liu, B Shi, S Lu, ZW Gao, F Zhang
Reliability Engineering & System Safety 247, 110135, 2024
42024
A new adaptive feature fusion and selection network for intelligent transportation systems
B Shi, Y Liu, S Lu, ZW Gao
Control Engineering Practice 146, 105885, 2024
42024
HFTL-KD: A new heterogeneous federated transfer learning approach for degradation trajectory prediction in large-scale decentralized systems
S Lu, ZW Gao, Y Liu
Control Engineering Practice 153, 106098, 2024
32024
Federated learning for decentralized fault diagnosis of a sucker-rod pumping system with class imbalance data
F Yang, ZW Gao, S Lu, Y Liu
Control Engineering Practice 152, 106050, 2024
32024
Application of Interpretability-Based Federated Learning to Fault Diagnosis of pumpjacks
B Shi, S Lu, Y Liu, H Jin
2024 7th International Conference on Robotics, Control and Automation …, 2024
2024
An Adaptive Reweighting Method Based on the Effective Area for Fault Severity Classification under Class Imbalance
Z Jin, Q Xu, C Jiang, S Lu, T Xie
2024 7th International Conference on Robotics, Control and Automation …, 2024
2024
High-frequency monitoring of China’s green growth-at-risk
M Xu, Q Xu, S Lu, C Jiang, C Wang
Environmental Science and Pollution Research, 1-16, 2023
2023
Probabilistic wind power forecasting with an improved sparse-group Lasso-quantile regression neural network
S Lu, Z Gao, A Zhang
2022 7th International Conference on Environment Friendly Energies and …, 2022
2022
Non-rechargeable battery remaining useful life prediction with interactive attention sequence to sequence network
S Lu, Z Gao, Q Xu, C Jiang, A Zhang, D Wu
2022 IEEE 20th International Conference on Industrial Informatics (INDIN …, 2022
2022
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