| Fault diagnosis of rolling bearings using an improved multi-scale convolutional neural network with feature attention mechanism Z Xu, C Li, Y Yang ISA transactions 110, 379-393, 2021 | 129 | 2021 |
| Fault diagnosis of rolling bearing of wind turbines based on the variational mode decomposition and deep convolutional neural networks Z Xu, C Li, Y Yang Applied Soft Computing 95, 106515, 2020 | 127 | 2020 |
| Fault diagnosis of wind turbine bearing using a multi-scale convolutional neural network with bidirectional long short term memory and weighted majority voting for multi-sensors Z Xu, X Mei, X Wang, M Yue, J Jin, Y Yang, C Li Renewable Energy 182, 615-626, 2022 | 64 | 2022 |
| An intelligent fault diagnosis for machine maintenance using weighted soft-voting rule based multi-attention module with multi-scale information fusion Z Xu, M Bashir, W Zhang, Y Yang, X Wang, C Li Information Fusion 86, 17-29, 2022 | 28 | 2022 |
| A novel health indicator for intelligent prediction of rolling bearing remaining useful life based on unsupervised learning model Z Xu, M Bashir, Q Liu, Z Miao, X Wang, J Wang, N Ekere Computers & Industrial Engineering 176, 108999, 2023 | 23 | 2023 |
| A comprehensive analysis of blade tip for vertical axis wind turbine: Aerodynamics and the tip loss effect W Miao, Q Liu, Z Xu, M Yue, C Li, W Zhang Energy Conversion and Management 253, 115140, 2022 | 23 | 2022 |
| Hydrodynamic characteristics of forced oscillation of heave plate with fractal characteristics based on floating wind turbine platform B Wang, Z Xu, C Li, D Wang, Q Ding Ocean engineering 212, 107621, 2020 | 19 | 2020 |
| Research on influence of ice-induced vibration on offshore wind turbines K Ye, C Li, Y Yang, W Zhang, Z Xu Journal of Renewable and Sustainable Energy 11 (3), 2019 | 13 | 2019 |
| Recommendation for strut designs of vertical axis wind turbines: Effects of strut profiles and connecting configurations on the aerodynamic performance W Miao, Q Liu, Q Zhang, Z Xu, C Li, M Yue, W Zhang, Z Ye Energy Conversion and Management 276, 116436, 2023 | 12 | 2023 |
| Multisensory collaborative damage diagnosis of a 10 MW floating offshore wind turbine tendons using multi-scale convolutional neural network with attention mechanism Z Xu, M Bashir, Y Yang, X Wang, J Wang, N Ekere, C Li Renewable Energy 199, 21-34, 2022 | 11 | 2022 |
| Floating ice load reduction of offshore wind turbines by two approaches K Ye, C Li, F Chen, Z Xu, W Zhang, J Zhang International Journal of Structural Stability and Dynamics 18 (10), 1850129, 2018 | 10 | 2018 |
| Investigation of the aerodynamic characteristics of horizontal axis wind turbine using an active flow control method via boundary layer suction P Wang, Q Liu, C Li, W Miao, M Yue, Z Xu Renewable Energy 198, 1032-1048, 2022 | 9 | 2022 |
| Dynamic response analysis of floating wind turbine platform in local fatigue of mooring K Sun, Z Xu, S Li, J Jin, P Wang, M Yue, C Li Renewable Energy 204, 733-749, 2023 | 8 | 2023 |
| Aerodynamic and aeroacoustic performance assessment of a vertical axis wind turbine by synergistic effect of blowing and suction Q Liu, W Miao, M Bashir, Z Xu, N Yu, S Luo, C Li Energy Conversion and Management 271, 116289, 2022 | 8 | 2022 |
| Fault diagnosis of rolling bearing using CNN and PCA fractal based feature extraction K Zhao, J Xiao, C Li, Z Xu, M Yue Measurement 223, 113754, 2023 | 5 | 2023 |
| Optimized design of wind turbine airfoil aerodynamic performance and structural strength based on surrogate model Q Zhang, W Miao, Q Liu, Z Xu, C Li, L Chang, M Yue Ocean Engineering 289, 116279, 2023 | 1 | 2023 |
| Data-Driven Damage Quantification of Floating Offshore Wind Turbine Platforms Based on Multi-Scale Encoder–Decoder with Self-Attention Mechanism M Bashir, Z Xu, J Wang, C Guedes Soares Journal of Marine Science and Engineering 10 (12), 1830, 2022 | 1 | 2022 |
| Tendon Damage Detection of 10 Mw Floating Offshore Wind Turbines Based on Convolutional Neural Network with Optimized Variational Mode Decomposition Z Xu, M Bashir, C Li, J Wang, Y Yang | 1 | 2021 |
| Rolling bearing fault diagnosis method using time-frequency information integration and multi-scale TransFusion network Z Wang, Z Xu, C Cai, X Wang, J Xu, K Shi, X Zhong, Z Liao Knowledge-Based Systems 284, 111344, 2024 | | 2024 |
| Collaborative Fault Diagnosis of Wind Turbine Gearbox Based on Probabilistic Neural Network with Decision Information Fusion Z Xu, W Miao, K Sun, W Zhang, J Wang, M Bashir Available at SSRN 4551936, 0 | | |
Musa BashirVerified email at ljmu.ac.uk
