Yong Zhang
Yong Zhang
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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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
Diagnosis and location of the open-circuit fault in modular multilevel converters: An improved machine learning method
C Li, Z Liu, Y Zhang, L Chai, B Xu
Neurocomputing 331, 58-66, 2019
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
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
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