Quentin Leclere

TL;DR: This paper provides a review of the most well-known and state-of-the-art acoustic imaging methods and recommendations on when to use them, as well as a broad overview for general aeroacoustic experts.

TL;DR: In this article, a Bayesian solution is proposed that consists either in directly finding the most probable value of the regularization parameter or, indirectly, in estimating it as the ratio of the most likely values of the noise and source expected energies.

TL;DR: A novel approach for the estimation of the Instantaneous Angular Speed (IAS) of rotating machines from vibration measurements is proposed, originated from the organisation of a contest during the conference CMMNO 2014.

TL;DR: In this paper, it is shown that diesel engine combustion and mechanical noise separation can be performed by a spectrofilter if and only if the spectro filter is computed using only the random part of the engine signals.

TL;DR: A general overview of the available knowledge regarding vibration-based speed estimation techniques is targeted by means of a performance comparison of seven speed estimation methods on three different experimental data sets and the resulting speed estimation data of all tested methods is made publicly available such that it can help in forming a benchmark for futurespeed estimation methods.