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The last 5 uploaded publications
Detection of wind turbine blade abnormalities through a deep learning model integrating VAE and neural ODE
Zeyun Yang, Mingqiang Xu, Shuqing Wang, Jun Li, Zhen Peng, Fei Jin, Yuan Yang (2024). Detection of wind turbine blade abnormalities through a deep learning model integrating VAE and neural ODE. , 302, DOI: https://doi.org/10.1016/j.oceaneng.2024.117689.
Article119 days agoDamage detection of wind turbine blades by Bayesian multivariate cointegration
Mingqiang Xu, Jun Li, Shuqing Wang, Ning Yang, Hong Hao (2022). Damage detection of wind turbine blades by Bayesian multivariate cointegration. , 258, DOI: https://doi.org/10.1016/j.oceaneng.2022.111603.
Article119 days agoStructural damage detection using low-rank matrix approximation and cointegration analysis
Mingqiang Xu, Wenkai Wu, Jun Li, F.T.K. Au, Shuqing Wang, Hong Hao, Ning Yang (2022). Structural damage detection using low-rank matrix approximation and cointegration analysis. , 267, DOI: https://doi.org/10.1016/j.engstruct.2022.114677.
Article119 days agoStructural damage detection by integrating robust PCA and classical PCA for handling environmental variations and imperfect measurement data
Mingqiang Xu, Jun Li, Shuqing Wang, Hong Hao, Huiyuan Tian, Jie Han (2022). Structural damage detection by integrating robust PCA and classical PCA for handling environmental variations and imperfect measurement data. , 25(8), DOI: https://doi.org/10.1177/13694332221079090.
Article119 days agoReal-Time Identification of Time-Varying Cable Force Using an Improved Adaptive Extended Kalman Filter
Ning Yang, Jun Li, Mingqiang Xu, Shuqing Wang (2022). Real-Time Identification of Time-Varying Cable Force Using an Improved Adaptive Extended Kalman Filter. , 22(11), DOI: https://doi.org/10.3390/s22114212.
Article77 days ago