| 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 | 289 | 2020 |
| 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 | 256 | 2019 |
| A new hybrid method for the prediction of the remaining useful life of a lithium-ion battery Y Chang, H Fang, Y Zhang Applied energy 206, 1564-1578, 2017 | 185 | 2017 |
| 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 | 136 | 2020 |
| A recurrent neural network approach for remaining useful life prediction utilizing a novel trend features construction method S Zhao, Y Zhang, S Wang, B Zhou, C Cheng Measurement 146, 279-288, 2019 | 120 | 2019 |
| Remaining useful life prediction of lithium-ion battery with optimal input sequence selection and error compensation L Chen, Y Zhang, Y Zheng, X Li, X Zheng Neurocomputing 414, 245-254, 2020 | 84 | 2020 |
| Degradation assessment of bearings with trend-reconstruct-based features selection and gated recurrent unit network L Xiao, Z Liu, Y Zhang, Y Zheng, C Cheng Measurement 165, 108064, 2020 | 76 | 2020 |
| Variance‐constrained state estimation for networked multi‐rate systems with measurement quantization and probabilistic sensor failures Y Zhang, Z Wang, L Ma International Journal of Robust and Nonlinear Control 26 (16), 3507-3523, 2016 | 74 | 2016 |
| Event-based finite-time filtering for multirate systems with fading measurements Y Zhang, Z Wang, L Zou, H Fang IEEE Transactions on Aerospace and Electronic Systems 53 (3), 1431-1441, 2017 | 70 | 2017 |
| Novel delay-dependent robust stability criteria for neutral stochastic delayed neural networks H Chen, Y Zhang, P Hu Neurocomputing 73 (13-15), 2554-2561, 2010 | 65 | 2010 |
| Detection of intermittent faults for nonuniformly sampled multi-rate systems with dynamic quantisation and missing measurements Y Zhang, Z Wang, FE Alsaadi International Journal of Control 93 (4), 898-909, 2020 | 64 | 2020 |
| H∞ fault detection for nonlinear networked systems with multiple channels data transmission pattern Y Zhang, Z Liu, H Fang, H Chen Information Sciences 221, 534-543, 2013 | 64 | 2013 |
| Stabilization of nonlinear networked systems with sensor random packet dropout and time-varying delay Y Zhang, H Fang Applied Mathematical Modelling 35 (5), 2253-2264, 2011 | 56 | 2011 |
| Annulus-event-based fault detection, isolation and estimation for multirate time-varying systems: applications to a three-tank system Y Zhang, Z Wang, L Ma, FE Alsaadi Journal of Process Control 75, 48-58, 2019 | 52 | 2019 |
| Fault detection filter design for networked multi‐rate systems with fading measurements and randomly occurring faults Y Zhang, Z Wang, L Zou, Z Liu IET Control Theory & Applications 10 (5), 573-581, 2016 | 52 | 2016 |
| A hybrid approach for remaining useful life prediction of lithium-ion battery with adaptive levy flight optimized particle filter and long short-term memory network Y Zhang, L Chen, Y Li, X Zheng, J Chen, J Jin Journal of Energy Storage 44, 103245, 2021 | 47 | 2021 |
| Stability analysis for uncertain neutral systems with discrete and distributed delays H Chen, Y Zhang, Y Zhao Applied Mathematics and Computation 218 (23), 11351-11361, 2012 | 47 | 2012 |
| Research on key technology of industrial artificial intelligence and its application in predictive maintenance Y Ye, Z Yong, D Han Acta Automatica Sinica 46 (10), 2013-2030, 2020 | 45 | 2020 |
| Fault diagnosis with synchrosqueezing transform and optimized deep convolutional neural network: An application in modular multilevel converters L Ke, Y Zhang, B Yang, Z Luo, Z Liu Neurocomputing 430, 24-33, 2021 | 43 | 2021 |
| Torus-event-based fault diagnosis for stochastic multirate time-varying systems with constrained fault Z Yong, H Fang, Y Zheng, X Li IEEE Transactions on cybernetics 50 (6), 2803-2813, 2019 | 39 | 2019 |
Zidong WangChair Professor, MAE, MEASA, FIEEE, Brunel University London, UKVerified email at brunel.ac.uk
