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Xuefei Wang
Xuefei Wang
Lecturer in Control Engineering, Coventry University
Verified email at coventry.ac.uk
Title
Cited by
Cited by
Year
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
972020
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
392020
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
352021
Wavelet package energy transmissibility function and its application to wind turbine blade fault detection
X Wang, Z Liu, L Zhang, WP Heath
IEEE Transactions on Industrial Electronics 69 (12), 13597-13606, 2022
132022
Real-time remaining useful life prediction of cutting tools using sparse augmented lagrangian analysis and gaussian process regression
X Qin, W Huang, X Wang, Z Tang, Z Liu
Sensors 23 (1), 413, 2022
52022
Wind turbine blades fault detection using system identification-based transmissibility analysis
X Wang, L Zhang, WP Heath
Insight-Non-Destructive Testing and Condition Monitoring 64 (3), 164-169, 2022
32022
Wavelet energy transmissibility analysis for wind turbine blades fault detection
X Wang, L Zhang, WP Heath
2020 IEEE Applied Power Electronics Conference and Exposition (APEC), 152-156, 2020
22020
Data-Driven System Identification Modelling for Multi-Float M4 Wave Energy Converter with Elastic Bed-Buoy-Bow Float Mooring
X Wang, D Liang, M Li, P Stansby, L Zhang
PROCEEDINGS OF THE 15TH EUROPEAN WAVE AND TIDAL ENERGY CONFERENCE, 2023
12023
Remaining Useful Life Estimation of Cutting Tools Using Bayesian Augmented Lagrangian Algorithm
X Wang, Z Liu, E Lu
2022 IEEE 31st International Symposium on Industrial Electronics (ISIE …, 2022
12022
On-line condition monitoring for rotor systems based on nonlinear data-driven modelling and model frequency analysis
Y Zhao, Z Liu, H Zhang, Q Han, Y Liu, X Wang
Nonlinear Dynamics, 1-17, 2024
2024
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