Séparation des sources de bruit des moteurs Diesel : Application en hiérarchisation de source et qualité sonore

Abstract : The spectrofilter is a Wiener filter used to extract combustion noise. This filter requires an important data processing and is determined in all operating conditions. Thus it is difficult to carry out perceptual studies on combustion noise from various motor adjustments. To overcome this drawback, this PhD dissertation aims to define a common filter which can synthesize a combustion noise in all operating conditions. For this, a perceptual study showed that the substitution of the conventional spectrofilter by another Wiener filter allows the synthesis of a combustion noise. The use of a common spectrofilter is thus possible. The experimental modal analysis allows to estimate the Wiener filter from characteristic data of the engine structure. After studying on a synthetic signal, the ESPRIT method seems to be the most appropriate, but requires some optimizations to be adapted to spectrofilter peculiarities. The Wiener filters of several running speeds are estimated in different estimating conditions, defined by the ESTER criterion. A fictitious damping evolution with the running speed is observed and linked to the temporal windowing applied on the spectrofilter computation. A perceptual experience is then carried out to identify if the ESTER criterion allows to estimate accurately filters to synthesize combustion noises similar to conventional combustion noises. The results lead to conceive the spectrofilter obtained in idling condition as a good common filter, as in a physical point of view that perception.
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Julie Drouet. Séparation des sources de bruit des moteurs Diesel : Application en hiérarchisation de source et qualité sonore. Mécanique [physics.med-ph]. INSA de Lyon, 2013. Français. ⟨NNT : 2013ISAL0053⟩. ⟨tel-01368413⟩

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