Prognostics for state of health estimation of lithium-ion batteries based on combination Gaussian process functional regression D Liu, J Pang, J Zhou, Y Peng, M Pecht Microelectronics Reliability 53 (6), 832-839, 2013 | 494 | 2013 |
A health indicator extraction and optimization framework for lithium-ion battery degradation modeling and prognostics D Liu, J Zhou, H Liao, Y Peng, X Peng IEEE Transactions on Systems, Man, and Cybernetics: Systems 45 (6), 915-928, 2015 | 337 | 2015 |
Lithium-ion battery remaining useful life estimation with an optimized relevance vector machine algorithm with incremental learning D Liu, J Zhou, D Pan, Y Peng, X Peng Measurement 63, 143-151, 2015 | 281 | 2015 |
Lithium-ion battery remaining useful life estimation based on fusion nonlinear degradation AR model and RPF algorithm D Liu, Y Luo, J Liu, Y Peng, L Guo, M Pecht Neural Computing and Applications 25, 557-572, 2014 | 234 | 2014 |
A hybrid statistical data-driven method for on-line joint state estimation of lithium-ion batteries Y Song, D Liu, H Liao, Y Peng Applied Energy 261, 114408, 2020 | 216 | 2020 |
Data-driven hybrid remaining useful life estimation approach for spacecraft lithium-ion battery Y Song, D Liu, C Yang, Y Peng Microelectronics Reliability 75, 142-153, 2017 | 205 | 2017 |
Satellite lithium-ion battery remaining cycle life prediction with novel indirect health indicator extraction D Liu, H Wang, Y Peng, W Xie, H Liao Energies 6 (8), 3654-3668, 2013 | 199 | 2013 |
An integrated probabilistic approach to lithium-ion battery remaining useful life estimation D Liu, W Xie, H Liao, Y Peng IEEE Transactions on Instrumentation and Measurement 64 (3), 660-670, 2014 | 174 | 2014 |
Satellite lithium-ion battery remaining useful life estimation with an iterative updated RVM fused with the KF algorithm S Yuchen, LIU Datong, HOU Yandong, YU Jinxiang, P Yu Chinese Journal of Aeronautics 31 (1), 31-40, 2018 | 158 | 2018 |
故障预测与健康管理技术综述 彭宇, 刘大同, 彭喜元 电子测量与仪器学报, 1-9, 2010 | 154 | 2010 |
On-line life cycle health assessment for lithium-ion battery in electric vehicles D Liu, Y Song, L Li, H Liao, Y Peng Journal of cleaner production 199, 1050-1065, 2018 | 149 | 2018 |
An on-line state of health estimation of lithium-ion battery using unscented particle filter D Liu, X Yin, Y Song, W Liu, Y Peng Ieee Access 6, 40990-41001, 2018 | 143 | 2018 |
Summary and perspective survey on digital twin technology D Liu, K Guo, B Wang, Y Peng Chinese Journal of Scientific Instrument 39 (11), 1-10, 2018 | 140 | 2018 |
Multivariate regression-based fault detection and recovery of UAV flight data B Wang, D Liu, Y Peng, X Peng IEEE Transactions on Instrumentation and Measurement 69 (6), 3527-3537, 2019 | 119 | 2019 |
Hybrid state of charge estimation for lithium-ion battery under dynamic operating conditions D Liu, L Li, Y Song, L Wu, Y Peng International Journal of Electrical Power & Energy Systems 110, 48-61, 2019 | 111 | 2019 |
A review: Prognostics and health management Y Peng, D Liu, X Peng Journal of Electronic Measurement and Instrument 24 (1), 1-9, 2010 | 106 | 2010 |
A modified echo state network based remaining useful life estimation approach Y Peng, H Wang, J Wang, D Liu, X Peng 2012 IEEE Conference on Prognostics and Health Management, 1-7, 2012 | 97 | 2012 |
Data-driven prognostics and health management: A review of recent advances Y Peng, DT Liu Chinese Journal of Scientific Instrument 35 (3), 481-495, 2014 | 91 | 2014 |
Data-driven prognostics for lithium-ion battery based on Gaussian process regression D Liu, J Pang, J Zhou, Y Peng Proceedings of the IEEE 2012 prognostics and system health management …, 2012 | 90 | 2012 |
Fault detection of the harmonic reducer based on CNN-LSTM with a novel denoising algorithm Z Zhi, L Liu, D Liu, C Hu IEEE Sensors Journal 22 (3), 2572-2581, 2021 | 84 | 2021 |