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

TL;DR

This paper introduces the Berthil cepstrum, a novel vibration analysis method based on the marginal Hilbert spectrum, demonstrating its effectiveness in motor age determination and general signal processing.

Contribution

The paper presents the Berthil cepstrum, a new approach combining cepstrum and marginal Hilbert spectrum for improved vibration analysis and motor aging assessment.

Findings

Classical marginal Hilbert spectrum applied to motor aging data yields excellent results.

The new Berthil cepstrum method outperforms existing spectrum-based methods.

Attribute ranking shows the new methods provide high-quality motor age determination.

Abstract

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