Cikkek nyilvánosan hozzáférhető megbízással - Furong GaoTovábbi információ
Sehol sem hozzáférhető: 139
A fast estimation algorithm for lithium-ion battery state of health
X Tang, C Zou, K Yao, G Chen, B Liu, Z He, F Gao
Journal of Power Sources 396, 453-458, 2018
Megbízások: National Natural Science Foundation of China
Critical review of life cycle assessment of lithium-ion batteries for electric vehicles: A lifespan perspective
X Lai, Q Chen, X Tang, Y Zhou, F Gao, Y Guo, R Bhagat, Y Zheng
Etransportation 12, 100169, 2022
Megbízások: National Natural Science Foundation of China
Review and big data perspectives on robust data mining approaches for industrial process modeling with outliers and missing data
J Zhu, Z Ge, Z Song, F Gao
Annual Reviews in Control 46, 107-133, 2018
Megbízások: National Natural Science Foundation of China, Research Grants Council, Hong Kong
A novel framework for Lithium-ion battery modeling considering uncertainties of temperature and aging
X Tang, Y Wang, C Zou, K Yao, Y Xia, F Gao
Energy conversion and management 180, 162-170, 2019
Megbízások: National Natural Science Foundation of China
Joint estimation of battery state-of-charge and state-of-health based on a simplified pseudo-two-dimensional model
B Liu, X Tang, F Gao
Electrochimica Acta 344, 136098, 2020
Megbízások: Research Grants Council, Hong Kong
Linearity evaluation and variable subset partition based hierarchical process modeling and monitoring
W Li, C Zhao, F Gao
IEEE Transactions on Industrial Electronics 65 (3), 2683-2692, 2017
Megbízások: National Natural Science Foundation of China
Critical-to-fault-degradation variable analysis and direction extraction for online fault prognostic
C Zhao, F Gao
IEEE Transactions on Control Systems Technology 25 (3), 842-854, 2016
Megbízások: National Natural Science Foundation of China
Data-driven batch-end quality modeling and monitoring based on optimized sparse partial least squares
Q Jiang, X Yan, H Yi, F Gao
IEEE Transactions on Industrial Electronics 67 (5), 4098-4107, 2019
Megbízások: National Natural Science Foundation of China, Research Grants Council, Hong Kong
New minmax linear quadratic fault-tolerant tracking control for batch processes
R Zhang, R Lu, A Xue, F Gao
IEEE Transactions on Automatic Control 61 (10), 3045-3051, 2015
Megbízások: National Natural Science Foundation of China
Temperature control of industrial coke furnace using novel state space model predictive control
R Zhang, A Xue, F Gao
IEEE transactions on industrial informatics 10 (4), 2084-2092, 2014
Megbízások: National Natural Science Foundation of China
Model migration based battery power capability evaluation considering uncertainties of temperature and aging
X Tang, Y Wang, K Yao, Z He, F Gao
Journal of Power Sources 440, 227141, 2019
Megbízások: National Natural Science Foundation of China, Research Grants Council, Hong Kong
Fault subspace selection approach combined with analysis of relative changes for reconstruction modeling and multifault diagnosis
C Zhao, F Gao
IEEE Transactions on Control Systems Technology 24 (3), 928-939, 2015
Megbízások: National Natural Science Foundation of China
Load-responsive model switching estimation for state of charge of lithium-ion batteries
X Tang, F Gao, C Zou, KE Yao, W Hu, T Wik
Applied energy 238, 423-434, 2019
Megbízások: National Natural Science Foundation of China
Observer based battery SOC estimation: Using multi-gain-switching approach
X Tang, B Liu, Z Lv, F Gao
Applied energy 204, 1275-1283, 2017
Megbízások: National Natural Science Foundation of China
A sparse reconstruction strategy for online fault diagnosis in nonstationary processes with no a priori fault information
H Sun, S Zhang, C Zhao, F Gao
Industrial & Engineering Chemistry Research 56 (24), 6993-7008, 2017
Megbízások: National Natural Science Foundation of China
A sparse dissimilarity analysis algorithm for incipient fault isolation with no priori fault information
C Zhao, F Gao
Control Engineering Practice 65, 70-82, 2017
Megbízások: National Natural Science Foundation of China
Batch process modeling and monitoring with local outlier factor
J Zhu, Y Wang, D Zhou, F Gao
IEEE Transactions on Control Systems Technology 27 (4), 1552-1565, 2018
Megbízások: National Natural Science Foundation of China, Research Grants Council, Hong Kong
Multipoint iterative learning model predictive control
J Lu, Z Cao, F Gao
IEEE Transactions on Industrial Electronics 66 (8), 6230-6240, 2018
Megbízások: National Natural Science Foundation of China
Battery incremental capacity curve extraction by a two-dimensional Luenberger–Gaussian-moving-average filter
X Tang, K Liu, J Lu, B Liu, X Wang, F Gao
Applied Energy 280, 115895, 2020
Megbízások: Research Grants Council, Hong Kong
Data-driven two-dimensional deep correlated representation learning for nonlinear batch process monitoring
Q Jiang, S Yan, X Yan, H Yi, F Gao
IEEE Transactions on Industrial Informatics 16 (4), 2839-2848, 2019
Megbízások: National Natural Science Foundation of China
A publikációs és a finanszírozási adatokat számítógépes program határozza meg, automatikusan.