IEEE Transactions on Industry Applications · 2006 · 260 citations · 8 references
EngineeringElectrical EngineeringMechanical EngineeringElectric MachinesTime Series AnalysisVibrationElectrical System DiagnosticsFault DetectionFrequency-domain AnalysisInduction MachinesSynchronous MachinesTime-frequency AnalysisCurrent Signature AnalysisFrequency EstimationInduction MotorsInstantaneous Frequency EstimationMechanical Load AnalysisMotor Fault DiagnosisPhase ModulationWigner-ville Distribution
<para xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> This paper examines the detection of mechanical faults in induction motors by an original use of stator current time-frequency analysis. Mechanical faults lead generally to periodic load torque oscillations. The influence of the torque oscillations on the induction motor stator current is studied using an analytical approach. The mechanical fault results in a sinusoidal phase modulation of the stator current, which is equivalent to a time-varying frequency. Based on these assumptions, several signal processing methods suitable for stator current signature analysis are discussed: classical spectral analysis, instantaneous frequency estimation, and the Wigner distribution. Experimental and simulation results validate the theoretical approach in steady-state operating conditions. </para>
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Digital and analog communication systems
R.E. Ziemer · Proceedings of the IEEE · 1981 · 454 citations
David G. Dorrell, William T. Thomson, Stephanie S. Roach · IEEE Transactions on Industry Applications · 1997 · 443 citations