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LONG ZHANG
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Year
A review of failure modes, condition monitoring and fault diagnosis methods for large-scale wind turbine bearings
Z Liu, L Zhang
Measurement 149, 107002, 2020
2012020
3-D modeling and analysis of meander-line-coil surface wave EMATs
S Wang, L Kang, Z Li, G Zhai, L Zhang
Mechatronics 22 (6), 653-660, 2012
692012
Vibration analysis for large-scale wind turbine blade bearing fault detection with an empirical wavelet thresholding method
Z Liu, L Zhang, J Carrasco
Renewable Energy 146, 99-110, 2020
642020
Maintenance management based on Machine Learning and nonlinear features in wind turbines
AA Jiménez, L Zhang, CQG Muñoz, FPG Márquez
Renewable Energy 146, 316-328, 2020
582020
Analysis of the dynamic characteristics of a slant-cracked cantilever beam
H Ma, J Zeng, Z Lang, L Zhang, Y Guo, B Wen
Mechanical Systems and Signal Processing 75, 261-279, 2016
432016
Fault diagnosis of industrial wind turbine blade bearing using acoustic emission analysis
Z Liu, X Wang, L Zhang
IEEE Transactions on Instrumentation and Measurement 69 (9), 6630-6639, 2020
382020
Artificial intelligence for concentrated solar plant maintenance management
AA Jiménez, CQG Muñoz, FPG Marquez, L Zhang
Proceedings of the tenth international conference on management science and …, 2017
362017
A new discrete-continuous algorithm for radial basis function networks construction
L Zhang, K Li, H He, GW Irwin
IEEE transactions on neural networks and learning systems 24 (11), 1785-1798, 2013
342013
A new extension of newton algorithm for nonlinear system modelling using RBF neural networks
L Zhang, K Li, EW Bai
IEEE Transactions on automatic control 58 (11), 2929-2933, 2013
342013
Forward and backward least angle regression for nonlinear system identification
L Zhang, K Li
Automatica 53, 94-102, 2015
292015
Wavelet energy transmissibility function and its application to wind turbine bearing condition monitoring
L Zhang, ZQ Lang
IEEE Transactions on Sustainable Energy 9 (4), 1833-1843, 2018
252018
Two-stage orthogonal least squares methods for neural network construction
L Zhang, K Li, EW Bai, GW Irwin
IEEE transactions on neural networks and learning systems 26 (8), 1608-1621, 2014
252014
Naturally damaged wind turbine blade bearing fault detection using novel iterative nonlinear filter and morphological analysis
Z Liu, L Zhang
IEEE Transactions on Industrial Electronics 67 (10), 8713-8722, 2019
242019
Material identification of loose particles in sealed electronic devices using PCA and SVM
G Zhai, J Chen, S Wang, K Li, L Zhang
Neurocomputing 148, 222-228, 2015
222015
Wind Turbine Blade Bearing Fault Diagnosis Under Fluctuating Speed Operations via Bayesian Augmented Lagrangian Analysis
Z Liu, X Tang, X Wang, JE Mugica, L Zhang
IEEE Transactions on Industrial Informatics 17 (7), 4613-4623, 2020
142020
Generalized transmissibility damage indicator with application to wind turbine component condition monitoring
L Zhang, ZQ Lang, M Papaelias
IEEE Transactions on Industrial Electronics 63 (10), 6347-6359, 2016
142016
Detection and material identification of loose particles inside the aerospace power supply via stochastic resonance and LVQ network
S Wang, R Chen, L Zhang, S Wang
Transactions of the Institute of Measurement and Control 34 (8), 947-955, 2012
122012
Acoustic Emission Analysis for Wind Turbine Blade Bearing Fault Detection Under Time-Varying Low-Speed and Heavy Blade Load Conditions
Z Liu, B Yang, X Wang, L Zhang
IEEE Transactions on Industry Applications 57 (3), 2791-2800, 2021
112021
Misalignment Fault Diagnosis for Wind Turbines Based on Information Fusion
Y Xiao, J Xue, L Zhang, Y Wang, M Li
Entropy 23 (2), 243, 2021
92021
Bayesian augmented Lagrangian algorithm for system identification
X Tang, L Zhang, X Li
Systems & Control Letters 120, 9-16, 2018
92018
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