Sarma, NurTuohy, Paul M.Djurovic, Sinisa2021-12-012021-12-0120210885-89691558-0059https://doi.org/10.1109/TEC.2020.3017443https://hdl.handle.net/20.500.12684/10414This article presents a novel study of stator electrical faults detection using the wide-band spectral signatures in the controller signals of doubly fed induction generators (DFIGs). The possible wide-band spectral content of the controller signals are first defined with a set of analytical equations in order to characterize the wide-band spectral signatures and their correlation to operating conditions including stator electrical faults. A DFIG harmonic model and laboratory test-rig are used to validate the derived equations. The calculated, simulated and experimental results are in good agreement. Furthermore, it is shown that the wide-band stator electrical fault related spectral signatures carry considerable diagnostic potential for recognition of stator electrical faults, and therefore, can potentially be used to advance controller embedded fault detection techniques.en10.1109/TEC.2020.3017443info:eu-repo/semantics/openAccessStatorsDoubly fed induction generatorsRotorsFrequency controlFault detectionHarmonic analysisMathematical modelCondition monitoringdoubly fed induction generatorhigh-resistance connectionstator faultsignature analysiswind power generationwind turbineFed Induction GeneratorsWound-RotorDiagnosisAsymmetryMachineMotorsArticle3628008112-s2.0-85107015224WOS:000652806800022Q1Q1