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

摘要

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).