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Motor age determination as a part of condition monitoring heavily employsvibration analysis. This study introduces a new method for such analysis, basedon concepts of cepstrum and marginal Hilbert spectrum. This new method, namedBerthil cepstrum may be applied in general signal processing, not only whenvibration signals are concerned. Classical marginal Hilbert spectrum has alsobeen applied to the artificial motor aging data with excellent results.Furthermore, a ranking of known spectrum-based methods for determination ofmotor age together with the new methods introduced in this study has been madebased on SVM and RELIEF attribute ranking, showing quality of the new methods.

Berthil Cepstrum: a Novel Vibration Analysis Method based on Marginal Hilbert Spectrum Applied to Artificial Motor Aging