Feature extraction using indicators of cyclostationarity for a mechanical diagnosis purpose

Amani Raad; Jérôme Antoni; Ménad Sidahmed

Amani Raad Université de Technologie de Compiègne
Jérôme Antoni Université de Technologie de Compiègne
Ménad Sidahmed Université de Technologie de Compiègne

Abstract

This paper focuses on features extraction based on cyclostationarity for diagnosis purpose. The objective is to derive new indicators for the diagnosis of rotating machinery. These indicators are based on cyclic higher order statistics and generalize some existing ones for the second order statistics. A comprehensive methodology is proposed for obtaining a diagnosis objective; a crucial example is presented, relating to vibration signals of a gearbox. Results demonstrate the effectiveness of these features to detect spalling in gearbox.

Keywords

References

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