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Vibration monitoring of an aeronautic power transmission system

Abstract : This thesis contains the results of the research studies performed with SafranTech and the Laboratoire d’Analyse des Signaux et des Processus Industriels (LASPI) of the University of Lyon. The main subject focuses on vibratory surveillance of aeronautic power transmission systems and more specifically gearboxes.Usually, vibrations are investigated with spectral analysis by means of the common representation of the Fourier spectrum. Based on these observations, gearbox vibrations have been represented by an empirical product model: on one hand the meshing signal, with high frequency, and on the other hand the gears rotations signals, with low frequencies.Indeed, gearbox vibrations develop a line spectrum having similar characteristics with some communication signals, as a carrier signal modulated in amplitude. For the purpose of incipient fault detection, it is interesting to be able to separate low frequency signals as they usually convey more fault information. Based on these model and observation, this research work investigate the answer to the two following questions:1. To which point the vibration signals produced by gears rotation can be explained by the representation as a product?2. Given a signal, is it possible to rebuild it by estimating the two components? Is the solution unique?In order to answer those questions, the given model was formulated as an optimization problem. Then a new tool has been defined to represent the discrete spectrum of gearbox vibration signal as a matrix containing the Fourier coefficients. This work has proven equivalence between the two representations of the matrix product of two vectors and the temporal multiplication of two signals. Furthermore, it allowed us to link the remote fields of signal demodulation and low rank approximation.This new separation and estimation approach for gearbox vibration signals has shown theoretical interesting performances, close to the ideal and allowed us to perform efficient incipient fault detection on real gearbox vibration dataset.
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Submitted on : Tuesday, March 3, 2020 - 11:33:12 AM
Last modification on : Wednesday, March 4, 2020 - 1:34:54 AM
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  • HAL Id : tel-02496726, version 1



Elisa Hubert. Vibration monitoring of an aeronautic power transmission system. Vibrations [physics.class-ph]. Université de Lyon, 2019. English. ⟨NNT : 2019LYSES015⟩. ⟨tel-02496726⟩



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