Παρακολούθηση
Weihua Li / 李巍华
Weihua Li / 李巍华
Prof. with School of Mechanical & Automotive Engineering, South China University of Technology
Η διεύθυνση ηλεκτρονικού ταχυδρομείου έχει επαληθευτεί στον τομέα scut.edu.cn
Τίτλος
Παρατίθεται από
Παρατίθεται από
Έτος
Multisensor feature fusion for bearing fault diagnosis using sparse autoencoder and deep belief network
Z Chen, W Li
IEEE Transactions on instrumentation and measurement 66 (7), 1693-1702, 2017
8832017
A perspective survey on deep transfer learning for fault diagnosis in industrial scenarios: Theories, applications and challenges
W Li, R Huang, J Li, Y Liao, Z Chen, G He, R Yan, K Gryllias
Mechanical Systems and Signal Processing 167, 108487, 2022
5482022
State-of-charge estimation of lithium-ion batteries based on gated recurrent neural network
F Yang, W Li, C Li, Q Miao
Energy 175, 66-75, 2019
4362019
A deep learning method for bearing fault diagnosis based on cyclic spectral coherence and convolutional neural networks
Z Chen, A Mauricio, W Li, K Gryllias
Mechanical Systems and Signal Processing 140, 106683, 2020
3842020
State-of-charge estimation of lithium-ion batteries using LSTM and UKF
F Yang, S Zhang, W Li, Q Miao
Energy 201, 117664, 2020
3402020
Mechanical fault diagnosis using convolutional neural networks and extreme learning machine
Z Chen, K Gryllias, W Li
Mechanical systems and signal processing 133, 106272, 2019
3252019
Viscoelastic properties of MR elastomers under harmonic loading
WH Li, Y Zhou, TF Tian
Rheologica acta 49, 733-740, 2010
3152010
Bearing performance degradation assessment using long short-term memory recurrent network
B Zhang, S Zhang, W Li
Computers in Industry 106, 14-29, 2019
3122019
Microstructures and viscoelastic properties of anisotropic magnetorheological elastomers
L Chen, XL Gong, WH Li
Smart materials and structures 16 (6), 2645, 2007
2952007
Intelligent fault diagnosis for rotary machinery using transferable convolutional neural network
Z Chen, K Gryllias, W Li
IEEE Transactions on Industrial Informatics 16 (1), 339-349, 2019
2852019
Recent progress of particle migration in viscoelastic fluids
D Yuan, Q Zhao, S Yan, SY Tang, G Alici, J Zhang, W Li
Lab on a Chip 18 (4), 551-567, 2018
2432018
A highly adjustable magnetorheological elastomer base isolator for applications of real-time adaptive control
Y Li, J Li, T Tian, W Li
Smart Materials and Structures 22 (9), 095020, 2013
2382013
Development of an MR-brake-based haptic device
B Liu, WH Li, PB Kosasih, XZ Zhang
Smart materials and structures 15 (6), 1960, 2006
2372006
Inertial particle separation by differential equilibrium positions in a symmetrical serpentine micro-channel
J Zhang, S Yan, R Sluyter, W Li, G Alici, NT Nguyen
Scientific reports 4 (1), 4527, 2014
2362014
A hybrid deep-learning model for fault diagnosis of rolling bearings
Y Xu, Z Li, S Wang, W Li, T Sarkodie-Gyan, S Feng
Measurement 169, 108502, 2021
2322021
Domain adversarial transfer network for cross-domain fault diagnosis of rotary machinery
Z Chen, G He, J Li, Y Liao, K Gryllias, W Li
IEEE Transactions on Instrumentation and Measurement 69 (11), 8702-8712, 2020
2322020
Semi-active variable stiffness vibration control of vehicle seat suspension using an MR elastomer isolator
H Du, W Li, N Zhang
Smart materials and structures 20 (10), 105003, 2011
2322011
Energy, exergy, exergoeconomic and environmental (4E) analysis of a distributed generation solar-assisted CCHP (combined cooling, heating and power) gas turbine system
J Wang, Z Lu, M Li, N Lior, W Li
Energy 175, 1246-1258, 2019
1972019
Deep decoupling convolutional neural network for intelligent compound fault diagnosis
R Huang, Y Liao, S Zhang, W Li
Ieee Access 7, 1848-1858, 2018
1892018
Multiplexing slanted spiral microchannels for ultra-fast blood plasma separation
M Rafeie, J Zhang, M Asadnia, W Li, ME Warkiani
Lab on a Chip 16 (15), 2791-2802, 2016
1832016
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