| Intelligent fault diagnosis for rotating machinery using deep Q-network based health state classification: A deep reinforcement learning approach Y Ding, L Ma, J Ma, M Suo, L Tao, Y Cheng, C Lu Advanced Engineering Informatics 42, 100977, 2019 | 127 | 2019 |
| A generative adversarial network-based intelligent fault diagnosis method for rotating machinery under small sample size conditions Y Ding, L Ma, J Ma, C Wang, C Lu IEEE Access 7, 149736-149749, 2019 | 76 | 2019 |
| A hybrid transfer learning scheme for remaining useful life prediction and cycle life test optimization of different formulation Li-ion power batteries J Ma, P Shang, X Zou, N Ma, Y Ding, J Sun, Y Cheng, L Tao, C Lu, Y Su, ... Applied Energy 282, 116167, 2020 | 66 | 2020 |
| An interpretable data augmentation scheme for machine fault diagnosis based on a sparsity-constrained generative adversarial network L Ma, Y Ding, Z Wang, C Wang, J Ma, C Lu Expert Systems with Applications 182, 115234, 2021 | 50 | 2021 |
| Cycle life test optimization for different Li-ion power battery formulations using a hybrid remaining-useful-life prediction method J Ma, S Xu, P Shang, W Qin, Y Cheng, C Lu, Y Su, J Chong, H Jin, Y Lin Applied Energy 262, 114490, 2020 | 47 | 2020 |
| Cooperative multi-UAV task assignment in cross-regional joint operations considering ammunition inventory X Yu, X Gao, L Wang, X Wang, Y Ding, C Lu, S Zhang Drones 6 (3), 77, 2022 | 30 | 2022 |
| Degradation prognosis for proton exchange membrane fuel cell based on hybrid transfer learning and intercell differences J Ma, X Liu, X Zou, M Yue, P Shang, L Kang, S Jemei, C Lu, Y Ding, ... ISA transactions 113, 149-165, 2021 | 30 | 2021 |
| Single-parameter decision-theoretic rough set M Suo, L Tao, B Zhu, X Miao, Z Liang, Y Ding, X Zhang, T Zhang Information Sciences 539, 49-80, 2020 | 29 | 2020 |
| Soft decision-making based on decision-theoretic rough set and Takagi-Sugeno fuzzy model with application to the autonomous fault diagnosis of satellite power system M Suo, L Tao, B Zhu, Y Chen, C Lu, Y Ding Aerospace Science and Technology 106, 106108, 2020 | 26 | 2020 |
| Conditional probability based multi-objective cooperative task assignment for heterogeneous UAVs X Gao, L Wang, X Yu, X Su, Y Ding, C Lu, H Peng, X Wang Engineering Applications of Artificial Intelligence 123, 106404, 2023 | 21 | 2023 |
| An adversarial model for electromechanical actuator fault diagnosis under nonideal data conditions C Wang, L Tao, Y Ding, C Lu, J Ma Neural Computing and Applications, 1-22, 2022 | 17 | 2022 |
| Li-ion battery health estimation based on multi-layer characteristic fusion and deep learning Y DIng, C Lu, J Ma 2017 IEEE vehicle power and propulsion conference (VPPC), 1-5, 2017 | 17 | 2017 |
| Long-term degradation prediction and assessment with heteroscedasticity telemetry data based on GRU-GARCH and MD hybrid method: An application for satellite L Tao, T Zhang, D Peng, J Hao, Y Jia, C Lu, Y Ding, L Ma Aerospace Science and Technology 115, 106826, 2021 | 15 | 2021 |
| Health assessment and fault classification for hydraulic pump based on LR and softmax regression Y Ding, J Ma, Y Tian Journal of Vibroengineering, 2015 | 14 | 2015 |
| Extension of labeled multiple attribute decision making based on fuzzy neighborhood three-way decision M Suo, Y Cheng, C Zhuang, Y Ding, C Lu, L Tao Neural Computing and Applications 32, 17731-17758, 2020 | 13 | 2020 |
| A mini review on UAV mission planning X Wang, H Wang, H Zhang, M Wang, L Wang, K Cui, C Lu, Y Ding Journal of Industrial and Management Optimization 19 (5), 3362-3382, 2023 | 12 | 2023 |
| Remaining useful life transfer prediction and cycle life test optimization for different formula Li-ion power batteries using a robust deep learning method J Ma, P Shang, X Zou, N Ma, Y Ding, Y Su, J Chong, H Jin, Y Lin IFAC-PapersOnLine 53 (3), 54-59, 2020 | 10 | 2020 |
| An EWT-PCA and extreme learning machine based diagnosis approach for hydraulic pump Y Ding, L Ma, C Wang, L Tao IFAC-PapersOnLine 53 (3), 43-47, 2020 | 9 | 2020 |
| A novel Long-term degradation trends predicting method for Multi-Formulation Li-ion batteries based on deep reinforcement learning C Wang, Y Ding, N Yan, L Ma, J Ma, C Lu, C Yang, Y Su, J Chong, H Jin, ... Advanced Engineering Informatics 53, 101665, 2022 | 7 | 2022 |
| An adaptive fault diagnosis framework under class-imbalanced conditions based on contrastive augmented deep reinforcement learning Q Zhao, Y Ding, C Lu, C Wang, L Ma, L Tao, J Ma Expert Systems with Applications 234, 121001, 2023 | 5 | 2023 |
Chen LuInstitute of Reliability Engineering, Beihang Universitybuaa.edu.cn üzerinde doğrulanmış e-posta adresine sahip
