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

Abstract : 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).
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https://hal.archives-ouvertes.fr/hal-03273732
Contributor : Pascal Rischette <>
Submitted on : Tuesday, June 29, 2021 - 3:13:45 PM
Last modification on : Monday, July 12, 2021 - 5:39:07 PM

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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⟩

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