Application of power spectrum, cepstrum, higher order spectrum and neural network analyses for induction motor fault diagnosis
Power spectrum, cepstrum and bispectrum analysis for AC motor are proposed. Together they present better ability to identify AC motor faults. Cepstrum in the vibration signals can make it look more concise and simpler. If fault symptoms have fewer harmonics, applying cepstrum will show less advantage. Bispectrum has the ability to suppress noise and show some extra information in signals.
power spectrum cepstrum induction motors bispectrum vibration fault pattern identification