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Frédéric Bonnardot

Researcher at Jean Monnet University

Publications -  16
Citations -  550

Frédéric Bonnardot is an academic researcher from Jean Monnet University. The author has contributed to research in topics: Bearing (mechanical) & Cyclostationary process. The author has an hindex of 5, co-authored 16 publications receiving 489 citations.

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Natural roller bearing fault detection by angular measurement of true instantaneous angular speed

TL;DR: In this article, the authors proposed an alternative way of bearing condition monitoring based on the instantaneous angular speed measurement by the help of a large experimental investigation on two different applications, they prove that localized faults like pitting in bearing generate small angular speed fluctuations which are measurable with optical or magnetic encoders.

Natural roller bearing fault detection by angular measurement of true instantaneous angular speed

TL;DR: In this article, the authors proposed an alternative way of bearing condition monitoring based on the instantaneous angular speed measurement using optical or magnetic encoders, and demonstrated the benefits of measuring angular speed with the pulse timing method through an implicit angular sampling which ensures insensitivity to speed fluctuation.
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A New Bearing Fault Detection Method in Induction Machines Based on Instantaneous Power Factor

TL;DR: This paper argues that bearing faults would have a negligible effect on motor currents and instead argues that the more likely reason why the faults can be detected in currents is because they entail a fluctuating resistive torque which acts immediately, in contrast to the radial displacement which takes time to integrate to a perceptible displacement even in response to a step change in velocity.
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Feedback on the Surveillance 8 challenge: Vibration-based diagnosis of a Safran aircraft engine

TL;DR: The content and outcomes of the Safran contest organized during the International Conference Surveillance 8, October 20–21, 2015, at the Roanne Institute of Technology, France, are presented, giving a picture of the current state of the art in vibration-based diagnosis of rolling-element bearings in nonstationary operating conditions.
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Extraction of second-order cyclostationary sources—Application to vibration analysis

TL;DR: In this article, the authors proposed a blind source separation algorithm that exploits the spectral redundancy induced by the pure second-order cyclostationary (CS2) part and tries to reconstruct it by combining several filtered frequency-shifted versions of the signal.