Multitask convolutional neural network with information fusion for bearing fault diagnosis and localization S Guo, B Zhang, T Yang, D Lyu, W Gao IEEE Transactions on Industrial Electronics 67 (9), 8005-8015, 2019 | 166 | 2019 |
Lebesgue-time–space-model-based diagnosis and prognosis for multiple mode systems D Lyu, G Niu, B Zhang, G Chen, T Yang IEEE Transactions on Industrial Electronics 68 (2), 1591-1603, 2020 | 18 | 2020 |
Uncertainty management and differential model decomposition for fault diagnosis and prognosis D Lyu, G Niu, E Liu, T Yang, G Chen, B Zhang IEEE Transactions on Industrial Electronics 69 (5), 5235-5246, 2021 | 10 | 2021 |
Lebesgue sampling-based li-ion battery simplified first principle model for soc estimation and rdt prediction E Liu, X Wang, G Niu, D Lyu, T Yang, B Zhang IEEE Transactions on Industrial Electronics 69 (9), 9524-9534, 2021 | 9 | 2021 |
Time space modelling for fault diagnosis and prognosis with uncertainty management: A general theoretical formulation D Lyu, G Niu, E Liu, B Zhang, G Chen, T Yang, E Zio Reliability Engineering & System Safety 226, 108686, 2022 | 6 | 2022 |
Low-cost adaptive ls-dekf for soc estimation and rdt prediction with sfp model E Liu, G Niu, D Lyu, T Yang, B Zhang IEEE Transactions on Instrumentation and Measurement 72, 1-9, 2023 | 4 | 2023 |
Uncertainty management in lebesgue-sampling-based li-ion battery SFP model for SOC estimation and RDT prediction E Liu, X Wang, G Niu, D Lyu, T Yang, B Zhang IEEE/ASME Transactions on Mechatronics 28 (2), 611-620, 2022 | 3 | 2022 |
The explainable uncertainty in degradation process: a discovery from non-accelerated batteries degradation experiment D Lyu, B Zhang, E Zio, T Yang IECON 2022–48th Annual Conference of the IEEE Industrial Electronics Society …, 2022 | 1 | 2022 |
Uncertainty Analysis in the Application of Fault Diagnosis and Prognosis D Lyu, G Niu, T Yang, C Gang, B Zhang 2021 4th IEEE International Conference on Industrial Cyber-Physical Systems …, 2021 | 1 | 2021 |
A model-data-fusion method for real-time continuous remaining useful life prediction of lithium batteries J Zhang, D Lyu, J Xiang Measurement, 115312, 2024 | | 2024 |
A flexible, highly sensitivity and wideband width response non-contact triboelectric nanogenerator for online vibration monitoring Z Linnan, L Guizhong, Z Tong, D Lyu, J Xiang 2023 IEEE 2nd Industrial Electronics Society Annual On-Line Conference …, 2023 | | 2023 |
Predicting Remaining Discharge Time for Lithium-ion Batteries based on Differential Model Decomposition D Lyu, J Zhang, B Zhang, T Yang, J Xiang 2023 IEEE 2nd Industrial Electronics Society Annual On-Line Conference …, 2023 | | 2023 |
A Prognosis Method for Condenser Fouling Based on Differential Modeling Y Zhang, T Yang, H Zhou, D Lyu, W Zheng, X Li Energies 16 (16), 5961, 2023 | | 2023 |
A Lebesgue-Time-Space-Model and Particle Filter based Diagnosis and Prognosis Method D Lyu, G Niu, D Hu, G Chen, T Yang, B Zhang 2019 International Conference on Sensing, Diagnostics, Prognostics, and …, 2019 | | 2019 |