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Francois Combet

Researcher at Cranfield University

Publications -  5
Citations -  556

Francois Combet is an academic researcher from Cranfield University. The author has contributed to research in topics: Harmonic & Signal-to-noise ratio. The author has an hindex of 5, co-authored 5 publications receiving 498 citations.

Papers
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An automated methodology for performing time synchronous averaging of a gearbox signal without speed sensor

TL;DR: In this article, a sensorless algorithm was proposed for angular resampling of the acceleration signal of a gearbox submitted to limited speed fluctuation. But it requires only the knowledge of an approximate value of the running speed and the number of teeth of the gears.
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Optimal filtering of gear signals for early damage detection based on the spectral kurtosis

TL;DR: In this paper, the spectral kurtosis (SK) filter was applied to the gear residual signal to detect small tooth surface pitting in a two-stage helical reduction gearbox.
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A new method for the estimation of the instantaneous speed relative fluctuation in a vibration signal based on the short time scale transform

TL;DR: In this article, a method for the estimation of the instantaneous speed relative fluctuation (ISRF) in a vibration signal measured on a system submitted to relatively heavy load and speed fluctuations and without speed measurement available is presented.
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Novel detection of local tooth damage in gears by the wavelet bicoherence

TL;DR: In this article, the instantaneous wavelet bicoherence (WB) was used for the first time for the detection of local tooth faults in industrial spur gearboxes, and the proposed WB-based diagnostic feature demonstrates robust experimental performance and superior detection capabilities.
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Novel adaptation of the demodulation technology for gear damage detection to variable amplitudes of mesh harmonics

TL;DR: In this paper, an adaptive demodulation technique including a new diagnostic feature is proposed for gear diagnosis in conditions of variable amplitudes of the mesh harmonics using the time synchronous average (TSA) of vibration signals.