Sarma, NurTuohy, Paul M.Mohammed, AneesDjurovic, Sinisa2021-12-012021-12-0120211949-30291949-3037https://doi.org/10.1109/TSTE.2020.3014446https://hdl.handle.net/20.500.12684/10595This paper presents a novel study of the wide-band spectral signatures in the controller signals of doubly fed induction generators (DFIGs) for the identification of rotor electrical faults. The aim is to advance the understanding of diagnostic information obtainable from the readily available DFIG controller signals. Analytical equations defining the controller signals possible spectral contents are derived to enable characterization of spectral signatures and their correlation to operating conditions and rotor faults. The equations are verified in a DFIG harmonic model study and also validated by undertaking a range of experiments on a laboratory DFIG test-rig. It is shown that the calculated, simulated and experimental results are in good agreement with regards to representing fault induced signatures in the examined DFIG controller signals spectra. Furthermore, it is shown that wide-band rotor electrical fault related spectral signatures in the controller signals carry considerable diagnostic potential for recognition of rotor electrical faults.en10.1109/TSTE.2020.3014446info:eu-repo/semantics/openAccessRotorsDoubly fed induction generatorsStatorsMathematical modelFault detectionHarmonic analysisCondition monitoringdoubly fed induction generatorharmonic machine modelrotor electrical faultsignature analysisSimulinkwind turbineSignature AnalysisWind TurbinesWound-RotorDiagnosisPerformanceGeneratorsStabilityArticle1216236332-s2.0-85098276892WOS:000599507600057Q1Q1