SAW wireless sensor and scale-based methods in fault diagnosis of rotating machinery

Angel Scipioni (1) , Pascal Rischette (1) , Agnès Santori (1)

1 CReA - Centre de Recherche de l'École de l'air

This article presents an essential step for identifying and locating faults encountered on rotating electrical machines. It is based on the use of a surface acoustic wave (SAW) vibration sensor. It ensures the capture of mechanical vibrations by a contactless and totally passive process. For the best determination of the resonance frequency, three processing methods are implemented: fast Fourier transform (FFT), discrete wavelet transform (DWT) and the empirical modal decomposition (EMD).

Mots clés: diagnosis; electrical machines; SAW; wireless; EMD; wavelets; FFT

Domaines: Sciences de l'ingénieur [physics]; Traitement du signal et de l'image [eess.SP]

Angel Scipioni, Pascal Rischette, Agnès Santori. SAW wireless sensor and scale-based methods in fault diagnosis of rotating machinery. International Symposium on Electromagnetic Fields in Mechatronics, Electrical and Electronic Engineering (ISEF), Aug 2019, Nancy, France. pp.1-2, ⟨10.1109/ISEF45929.2019.9097086⟩. ⟨hal-03273732⟩