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Zepeng Liu
Zepeng Liu
Lecturer in Electrification, Newcastle University
Verified email at newcastle.ac.uk
Title
Cited by
Cited by
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
4982020
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
1462020
Fault Diagnosis of Industrial Wind Turbine Blade Bearing using Acoustic Emission Analysis
Z Liu, X Wang, L Zhang
IEEE Transactions on Instrumentation and Measurement, 2020
1342020
Wind Turbine Blade Bearing Fault Diagnosis Under Fluctuating Speed Operations via Bayesian Augmented Lagrangian Analysis
Z Liu, X Tang, X Wang, J Mugica, L Zhang
IEEE Transactions on Industrial Informatics, 1-1, 2020
532020
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
502019
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, 1-1, 2021
432021
Wavelet Package Energy Transmissibility Function and Its Application to Wind Turbine Blade Fault Detection
X Wang, Z Liu, L Zhang, W Health
IEEE Transactions on Industrial Electronics, 1-1, 2022
232022
Digital twin-based anomaly detection for real-time tool condition monitoring in machining
Z Liu, ZQ Lang, Y Gui, YP Zhu, H Laalej
Journal of Manufacturing Systems 75, 163-173, 2024
192024
Sensor Data Modeling and Model Frequency Analysis for Detecting Cutting Tool Anomalies in Machining
Z Liu, ZQ Lang, YP Zhu, Y Gui, H Laalej, J Stammers
IEEE Transactions on Systems, Man, and Cybernetics: Systems, 1-13, 2022
152022
Wind turbine blade bearing fault detection with Bayesian and Adaptive Kalman Augmented Lagrangian Algorithm
C Zhang, Z Liu, L Zhang
Renewable Energy 199, 1016-1023, 2022
142022
Online rotor systems condition monitoring using nonlinear output frequency response functions under harmonic excitations
YP Zhu, YL Zhao, ZQ Lang, ZP Liu, Y Liu
IEEE Transactions on Industrial Informatics 18 (10), 6798-6808, 2022
132022
Preparation and enhanced electric-field-induced strain of textured 91BNT–6BT–3KNN lead-free piezoceramics by TGG method
S Ma, Y Zhang, Z Liu, X Dai, J Huang, P Fan, B Xie, S Jiang, H Zhang
Journal of Materials Science: Materials in Electronics 27, 3076-3081, 2016
132016
Constrained sintering and electrical properties of BNT–BKT lead-free piezoceramic thick films
P Fan, Y Zhang, J Huang, W Hu, D Huang, Z Liu, B Xie, X Li, J Xiao, ...
Ceramics International 42 (2), 2534-2541, 2016
132016
A novel nonlinear spectrum estimation method and its application in on-line condition assessment of bearing-rotor system
Y Zhao, Z Liu, J Lin, Q Han, Y Liu
Measurement 221, 113497, 2023
102023
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
102022
Fast Evaluation of Generalized Associated Linear Equations (GALEs) for Nonlinear Systems Characterization and Compensation
YP Zhu, Z Liu, W Zhang, B Zhang
Journal of the Franklin Institute, 2023
62023
Acoustic Emission Analysis for Wind Turbine Blade Bearing Fault Detection Using Sparse Augmented Lagrangian Algorithm
Z Liu, L Zhang
2020 IEEE Applied Power Electronics Conference and Exposition (APEC), 145-151, 2020
52020
Unsupervised detection of tool breakage: A novel approach based on time and sensor domain data analysis
Y Gui, ZQ Lang, Z Liu, Y Zhu, H Laalej, D Curtis
IEEE Transactions on Instrumentation and Measurement, 2023
42023
Vibration Signal-based Tool Condition Monitoring Using Regularized Sensor Data Modelling and Model Frequency Analysis
Z Liu, ZQ Lang, Y Gui, YP Zhu, H Laalej, D Curtis
IEEE Transactions on Instrumentation and Measurement, 2023
42023
Wind Turbine Blade Bearing Fault Detection and Diagnosis Using Vibration and Acoustic Emission Signal Analysis
Z Liu
University of Manchester, 2022
32022
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