Journal article

Wang Z, Xu Z, Cai C, Wang X, Xu J, Shi K, Zhong X, Liao Z, Li QA. 2024. Rolling bearing fault diagnosis method using time-frequency information integration and multi-scale TransFusion network Knowledge-Based Systems, 284 DOI Publisher Url

Zhao K, Xiao J, Li C, Xu Z, Yue M. 2023. Fault diagnosis of rolling bearing using CNN and PCA fractal based feature extraction Measurement: Journal of the International Measurement Confederation, 223 DOI Publisher Url

Zhang Q, Miao W, Liu Q, Xu Z, Li C, Chang L, Yue M. 2023. Optimized design of wind turbine airfoil aerodynamic performance and structural strength based on surrogate model Ocean Engineering, 289 DOI Publisher Url

Sun K, Jin J, Li C, Xu Z. 2023. Fault Diagnosis Strategy for Rolling Bearing Based on Optimal Fusion of Variational Modal Decomposition and Deep Learning Dongli Gongcheng Xuebao/Journal of Chinese Society of Power Engineering, 43 :749-758 DOI

Sun K, Jin J, Li C, Ye K, Xu Z. 2023. FAULT DIAGNOSIS OF WIND TURBINE GEARBOX BASED ON IMPROVED EMPIRICAL WAVELET TRANSFORM AND FRACTAL FEATURE SET Taiyangneng Xuebao/Acta Energiae Solaris Sinica, 44 :310-319 DOI

Xiao J, Jin J, Li C, Xu Z, Luo S. 2023. FAULT DIAGNOSIS OF WIND TURBINE GEARBOX BASED ON DEEP LEARNING Taiyangneng Xuebao/Acta Energiae Solaris Sinica, 44 :302-309 DOI

Sun K, Xu Z, Li S, Jin J, Wang P, Yue M, Li C. 2023. Dynamic response analysis of floating wind turbine platform in local fatigue of mooring Renewable Energy, 204 :733-749 DOI Publisher Url Public Url

Xu Z, Bashir M, Liu Q, Miao Z, Wang X, Wang J, Ekere NN. 2023. A Novel Health Indicator for Intelligent Prediction of Rolling Bearing Remaining Useful Life based on Unsupervised Learning Model Computers and Industrial Engineering, 176 DOI Author Url Publisher Url Public Url

Miao W, Liu Q, Zhang Q, Xu Z, Li C, Yue M, Zhang W, Ye Z. 2023. Recommendation for strut designs of vertical axis wind turbines: Effects of strut profiles and connecting configurations on the aerodynamic performance Energy Conversion and Management, 276 DOI Publisher Url Public Url

Xiao JQ, Jin JT, Li C, Xu ZF, Sun K. 2023. RESEARCH ON BEARING FAULT DIAGNOSIS BASED ON CEEMDAN FUZZY ENTROPY AND CONVOLUTIONAL NEURAL NETWORK Jixie Qiangdu/Journal of Mechanical Strength, 45 :26-33 DOI

Bashir M, Xu Z, Wang J, Soares C. 2022. Data-Driven Damage Quantification of Floating Offshore Wind Turbine Platforms Based on Multi-Scale Encoder–Decoder with Self-Attention Mechanism Guedes Soares C. Journal of Marine Science and Engineering, 10 DOI Publisher Url Public Url

Xiao J, Yue M, Li C, Jin J, Xu Z, Miao W. 2022. Research about fault diagnosis of bearing based on instrinsic time scale decomposition and convolutional neural network Jixie Qiangdu/Journal of Mechanical Strength, 44 :1017-1023 DOI

Liu Q, Miao W, Bashir M, Xu Z, Yu N, Luo S, Li C. 2022. Aerodynamic and aeroacoustic performance assessment of a vertical axis wind turbine by synergistic effect of blowing and suction Energy Conversion and Management, 271 DOI Publisher Url Public Url

Wang P, Liu Q, Li C, Miao W, Yue M, Xu Z. 2022. Investigation of the aerodynamic characteristics of horizontal axis wind turbine using an active flow control method via boundary layer suction Renewable Energy, 198 :1032-1048 DOI Publisher Url Public Url

Sun K, Jin J, Li C, Li S, Xu Z, Xiao J. 2022. Dynamic Response Analysis of Floating Wind Turbine Platform in Local Mooring Creep Mode Dongli Gongcheng Xuebao/Journal of Chinese Society of Power Engineering, 42 :933-943 DOI

Sun K, Jin J, Li C, Xu Z. 2022. Fault Identification of Rolling Bearings Based on Optimized Variational Mode Decomposition and Chaotic Fractal Dongli Gongcheng Xuebao/Journal of Chinese Society of Power Engineering, 42 DOI

Xu Z, Bashir M, Yang Y, Wang X, Wang J, Ekere NN, Li C. 2022. Multisensory collaborative damage diagnosis of a 10MW floating offshore wind turbine tendons using multi-scale convolutional neural network with attention mechanism Renewable Energy, 199 :21-34 DOI Publisher Url Public Url

Jin J, Xu Z, Li C, Miao W, Sun K, Xiao J. 2022. Fault diagnosis of rolling bearing based on CCNN-BiLSTMN method Zhendong yu Chongji/Journal of Vibration and Shock, 41 :160-169 DOI

Sun K, Jin JT, Li C, Xu ZF. 2022. Gearbox Fault Detection Strategy based on Optimized Empirical Wavelet Transform and Improved Support Vector Machine Reneng Dongli Gongcheng/Journal of Engineering for Thermal Energy and Power, 37 :186-196 DOI

Xu Z, Bashir M, Zhang W, Yang Y, Wang X, Li C. 2022. An Intelligent Fault Diagnosis for Machine Maintenance using Weighted Soft-Voting Rule based Multi-Attention Module with Multi-Scale Information Fusion1 Information Fusion, 86-87 :17-29 DOI Publisher Url Public Url

Jin JT, Xu ZF, Li C, Miao WP. 2022. Research on Rolling Bearing Fault Diagnosis based on Deep Learning and Support Vector Machine Reneng Dongli Gongcheng/Journal of Engineering for Thermal Energy and Power, 37 :176-184 DOI

Xiao J, Jin J, Yue M, Li C, Xu Z, Sun K. 2022. Bearing Fault Analysis of Deep Learning Based on Improved CEEMDAN Algorithm and Fractal Fusion Dongli Gongcheng Xuebao/Journal of Chinese Society of Power Engineering, 42 :523-529 DOI

Xiao JQ, Jin JT, Li C, Xu ZF. 2022. Research on Fault Diagnosis of Wind Turbine Rolling Bearing based on Improved Variational Mode Decomposition and Maximum Correlation Kurtosis Deconvolution Reneng Dongli Gongcheng/Journal of Engineering for Thermal Energy and Power, 37 :165-173 DOI

Xiao J, Jin J, Li C, Xu Z, Sun K. 2022. Bearing Fault Diagnosis Based on CEEMDAN Sample Entropy and Convolutional Neural Network Dongli Gongcheng Xuebao/Journal of Chinese Society of Power Engineering, 42 :429-436 DOI

Wang YB, Zhang Q, Li C, Xu ZF. 2022. Comparative Research on Load Characteristics and Bionic Fractal of Wind Turbine Blade with Pitch Fault and the Original Structure Reneng Dongli Gongcheng/Journal of Engineering for Thermal Energy and Power, 37 :144-151 DOI

Xiao JQ, Jin JT, Li C, Xu ZF. 2022. Research on Bearing Fault Diagnosis based on Optimized CEEMDAN-CNN Reneng Dongli Gongcheng/Journal of Engineering for Thermal Energy and Power, 37 :166-174 DOI

Jin J, Xu Z, Li C, Miao W, Zhang W, Li G. 2022. Application of convolutional neural network and chaos theory in fault diagnosis of rolling bearings Jixie Qiangdu/Journal of Mechanical Strength, 44 :287-293 DOI

Xu Z, Yang Y, Li C, Miao W, Zhang W, Jin J, Wang X. 2022. Tendon damage identification of 10 MW floating wind turbine based on CMS-CNN Zhendong yu Chongji/Journal of Vibration and Shock, 41 DOI

Wang B, Liu Q, Li C, Xu Z, Ding Q, Zhang L, Li S. 2022. Research on dynamic response of super large floating wind turbine based on chaos theory Jixie Qiangdu/Journal of Mechanical Strength, 44 :29-37 DOI

Jin J, Xu Z, Li C, Miao W, Zhang W, Li G. 2022. Nonlinear analysis of bearing signal based on improved variational modal decomposition and muti fractal Jixie Qiangdu/Journal of Mechanical Strength, 44 :45-52 DOI

Jin JT, Xu ZF, Li C, Miao WP, Xiao JQ, Sun K. 2022. Rolling bearing fault diagnosis based on deep learning and chaotic feature fusion Kongzhi Lilun Yu Yingyong/Control Theory and Applications, 39 :109-116 DOI

Miao W, Liu Q, Xu Z, Yue M, Li C, Zhang W. 2021. A comprehensive analysis of blade tip for vertical axis wind turbine: Aerodynamics and the tip loss effect Energy Conversion and Management, 253 DOI Publisher Url

Xu Z, Mei X, Wang X, Yue M, Jin J, Yang Y, Li C. 2021. 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 Renewable Energy, 182 :615-626 DOI Author Url Publisher Url Public Url

Xu Z, Jin J, Li C. 2021. New method for the fault diagnosis of rolling bearings based on a multiscale convolutional neural network Zhendong yu Chongji/Journal of Vibration and Shock, 40 :212-220 DOI

Jin JT, Xu ZF, Li C, Miao WP, Li G. 2021. Bearing Fault Diagnosis Based on VMD Energy Entropy and Optimized Support Vector Machine Jiliang Xuebao/Acta Metrologica Sinica, 42 :898-905 DOI

Xu ZF, Miao WP, Li C, Jin JT. 2021. Fault Diagnosis of Bearings based on Variational Mode Decomposition and Convolutional Neural Network Reneng Dongli Gongcheng/Journal of Engineering for Thermal Energy and Power, 36 :55-63 DOI

Xu Z, Li C, Yang Y. 2021. Fault diagnosis of rolling bearings using an Improved Multi-Scale Convolutional Neural Network with Feature Attention mechanism ISA Transactions, 110 :379-393 DOI Author Url Publisher Url Public Url

Jin J, Xu Z, Li C, Miao W. 2021. Fault Diagnosis of Rolling Bearings Based on Variational Mode Decomposition and Optimized of Support Vector Machine Dongli Gongcheng Xuebao/Journal of Chinese Society of Power Engineering, 41 DOI

Xu ZF, Miao WP, Li C, Jin JT, Li SJ. 2020. Nonlinear feature extraction and chaos analysis of flow field Wuli Xuebao/Acta Physica Sinica, 69 DOI Publisher Url

Yan Y, Xu Z, Li C, Deng Y, Wang Y. 2020. Transient dynamics analysis of a large-scale jacket offshore wind turbine under seismic loading Zhendong yu Chongji/Journal of Vibration and Shock, 39 :175-182 DOI

Yan Y, Yue M, Li C, Yang Y, Xu Z. 2020. Seismic Dynamic Response of Jacket Offshore Wind Turbines Under Different Wind Loads Dongli Gongcheng Xuebao/Journal of Chinese Society of Power Engineering, 40 :915-923 DOI

Jin JT, Xu ZF, Li C. 2020. Research on Fault Diagnosis of Wind Turbine Bearing based on Optimized Variational Mode Decomposition and Fractal Method Reneng Dongli Gongcheng/Journal of Engineering for Thermal Energy and Power, 35 :142-150 DOI

Xu Z, Li C, Yang Y. 2020. Fault diagnosis of rolling bearing of wind turbines based on the Variational Mode Decomposition and Deep Convolutional Neural Networks Applied Soft Computing Journal, 95 DOI Author Url Publisher Url Public Url

Xu ZF, Yue MN, Li C. 2020. Rotating Machine Fault Diagnosis based on Manifold Learning and Neural Network Reneng Dongli Gongcheng/Journal of Engineering for Thermal Energy and Power, 35 :224-232 DOI

Xu ZF, Yue MN, Li C. 2020. Nonlinear Characteristic Analysis of Wind Turbine Bearings by SVM based on Optimized Variational Mode Decomposition Reneng Dongli Gongcheng/Journal of Engineering for Thermal Energy and Power, 35 :233-242 DOI

Xu ZF, Yue MN, Li C. 2020. Fault Diagnosis and Analysis of Wind Turbine Bearing Chaotic Phase based on Convolutional Neural Network Reneng Dongli Gongcheng/Journal of Engineering for Thermal Energy and Power, 35 DOI

Han XHY, Xu ZF, Li C, Ye KH. 2020. Bearing Fault Analysis based on Improved Variational Mode Decomposition Analysis and De-interference Envelope Factor Reneng Dongli Gongcheng/Journal of Engineering for Thermal Energy and Power, 35 :52-61 DOI

Wang B, Xu Z, Li C, Deng Y, Liu Q. 2020. Comparison of Dynamic Response Among Three Offshore Wind Turbine Semi-submersible Platforms Under Extreme Sea Conditions Dongli Gongcheng Xuebao/Journal of Chinese Society of Power Engineering, 40 :58-64 DOI

Xu ZF, Yue MN, Li C. 2019. Application of the proposed optimized recursive variational mode decomposition in nonlinear decomposition Wuli Xuebao/Acta Physica Sinica, 68 DOI Publisher Url

Yan YT, Xu ZF, Li C, Yang Y. 2019. Structure Dynamic Response of Large Offshore Wind Turbine under Combined Action of Earthquake and Turbulent Wind Reneng Dongli Gongcheng/Journal of Engineering for Thermal Energy and Power, 34 :132-140 DOI

Xu ZF, Li C, Zhang WF, Deng YH. 2019. Multifractal Spectrum Analysis of Bearing Failure of Wind Turbine based on Adaptive Variational Modal Decomposition Reneng Dongli Gongcheng/Journal of Engineering for Thermal Energy and Power, 34 :181-190 DOI

Xu ZF, Li C, Yang Y, Musa . 2019. Vibration Signals Analysis of the Bearing of Wind Turbine based on Improved Threshold and Multi-Fractal Reneng Dongli Gongcheng/Journal of Engineering for Thermal Energy and Power, 34 :191-198 DOI

Xu ZF, Zou JH, Li C, Yang Y. 2019. Seismic Dynamic Response of Offshore Wind Turbine with Different Water Depths Reneng Dongli Gongcheng/Journal of Engineering for Thermal Energy and Power, 34 :83-90 DOI

Zou JH, Li C, Ye KH, Xu ZF. 2019. Study on the Vibration of Cone Structures of Offshore Wind Turbine based on Chaos Theory Reneng Dongli Gongcheng/Journal of Engineering for Thermal Energy and Power, 34 :173-180 DOI

Xu Z, Zou J, Li C, Yuan Q. 2019. R/S Analysis on Hurst Exponent of Wind Speed Time Series Dongli Gongcheng Xuebao/Journal of Chinese Society of Power Engineering, 39

Ye K, Li C, Yang Y, Zhang W, Xu Z. 2019. Research on influence of ice-induced vibration on offshore wind turbines Journal of Renewable and Sustainable Energy, 11 DOI Publisher Url

Yu K, Yuan Q, Li C, Yang Y, Xu Z. 2019. Comparative study of chaos identification methods for wind speed time series under different environmental measurement Ekoloji, 28 :3499-3503

Xu Z, Ye K, Li C, Ding Q, Yang Y. 2018. Influences of the cone structure of a monopile offshore wind turbine on its dynamic responses under ice loading condition Zhendong yu Chongji/Journal of Vibration and Shock, 37 DOI

Xu ZF, Ye KH, Li C, Yang Y. 2018. Vibration Reduction Analysis of Offshore Wind Turbine with TMD System Reneng Dongli Gongcheng/Journal of Engineering for Thermal Energy and Power, 33 :127-134 DOI

Ye K, Li C, Chen F, Xu Z, Zhang W, Zhang J. 2018. Floating ice load reduction of offshore wind turbines by two approaches International Journal of Structural Stability and Dynamics, 18 DOI Publisher Url

Xu ZF, Ye KH, Li C, Ding QW. 2018. Vibration Analysis of Offshore Wind Turbine with Cone Structure Reneng Dongli Gongcheng/Journal of Engineering for Thermal Energy and Power, 33 DOI

Xu Z, Ye K, Li C, Yang Y. 2018. Analysis on Anti-ice Performance of Offshore Wind Turbines with Ice Breaking Cone Dongli Gongcheng Xuebao/Journal of Chinese Society of Power Engineering, 38 :740-746

Xu ZF, Li C, Ye KH, Yang Y. 2018. Load Reduction Characteristic of Anti-ice Cone for Offshore Wind Turbine under Ice Loading Condition Reneng Dongli Gongcheng/Journal of Engineering for Thermal Energy and Power, 33 :121-128 DOI Publisher Url