2013 · 32 citations · 3 references
EngineeringElectrical EngineeringElectric MachinesPower ElectronicsTime Series AnalysisDiagnosisDiagnosticsElectrical System DiagnosticsFault DetectionMachine WindingsSynchronous MachinesEnergy EigenvaluesPermanent Magnet Synchronous MachinesPermanent Magnet Synchronous MotorsStator Winding FaultsWavelet AnalysisWavelet Packet TransformWavelet TransformWavelet Transform Analysis
In this paper, the method of wavelet packet transform analysis is proposed, according to the shortcomings of Fourier transform analysis method when the fault detection of permanent magnet synchronous motor(PMSM) is studied. The stator current signal of PMSM is decomposed by wavelet packet, then the signal energy eigenvalues of frequency bands are analyzed. The simulation result shows that the method of wavelet packet transform analysis can well characterize the fault features of the stator winding inter-turn short circuit.
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Using neural networks for fault diagnosis
Jia-Zhou He, Zhi‐Hua Zhou, Xu-Ri Yin et al. · 2000 · 25 citations