Raed Ibrahim
Title
Cited by
Cited by
Year
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
352018
Neural networks for wind turbine fault detection via current signature analysis
R Ibrahim, J Weinert, S Watson
Loughborough University, 2016
242016
Effect of power converter on condition monitoring and fault detection for wind turbine
RK Ibrahim, S Watson
IET Digital Library, 2016
72016
Advanced algorithms for wind turbine condition monitoring and fault diagnosis
R Ibrahim, S Watson
Loughborough University, 2016
52016
Stator winding fault diagnosis in synchronous generators for wind turbine applications
RK Ibrahim, S Watson
IET Digital Library, 2016
52016
Wind turbine simulation model for the study of combined mechanical and electrical faults
R Ibrahim, S Watson
Loughborough University, 2015
52015
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
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Articles 1–10