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Raed Ibrahim
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An effective approach for rotor electrical asymmetry detection in wind turbine DFIGs
RK Ibrahim, SJ Watson, S Djurović, CJ Crabtree
IEEE Transactions on Industrial Electronics 65 (11), 8872-8881, 2018
622018
Neural networks for wind turbine fault detection via current signature analysis
R Ibrahim, J Weinert, S Watson
Loughborough University, 2016
382016
Digital quality management systems: benefits and challenges
R Ibrahim
Proceedings on Engineering Sciences 1 (2), 163-172, 2019
112019
Effect of power converter on condition monitoring and fault detection for wind turbine
RK Ibrahim, S Watson
IET Digital Library, 2016
92016
Stator winding fault diagnosis in synchronous generators for wind turbine applications
RK Ibrahim, S Watson
IET Digital Library, 2016
82016
Anomaly detection for large hydrogenerators using the variational autoencoder based on vibration signals
R Ibrahim, R Zemouri, A Tahan, F Lafleur, B Kedjar, A Merkhouf, ...
2022 International Conference on Electrical Machines (ICEM), 1609-1615, 2022
72022
Advanced algorithms for wind turbine condition monitoring and fault diagnosis
R Ibrahim, S Watson
Loughborough University, 2016
62016
Wind turbine simulation model for the study of combined mechanical and electrical faults
R Ibrahim, S Watson
Loughborough University, 2015
62015
Condition monitoring of permanent magnet synchronous generator for wind turbine applications
RK Ibrahim, S Watson
2016 3rd Conference on Control and Fault-Tolerant Systems (SysTol), 648-653, 2016
42016
Effective algorithms for real-time wind turbine condition monitoring and fault-detection
R Ibrahim
Loughborough University, 2020
12020
Adaptive fault detection and tracking for a wind turbine generator using Kalman filter
R Ibrahim, A Daniyan, S Watson
ASRANet Ltd, 2016
2016
ONLINE NONINTRUSIVE CONDITION MONITORING AND FAULT PROGNOSIS FOR WIND
R Ibrahim, S Watson
El sistema no puede realizar la operación en estos momentos. Inténtalo de nuevo más tarde.
Artículos 1–12