Algorithm for turbocharger noise source recognition with speed identification from acoustic emission

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26210%2F26%3A0199102" target="_blank" >RIV/00216305:26210/26:0199102 - isvavai.cz</a>
Result on the web
<a href="https://www.utad.cz/koka25/" target="_blank" >https://www.utad.cz/koka25/</a>
DOI - Digital Object Identifier
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Result language
angličtina
Original language name
Algorithm for turbocharger noise source recognition with speed identification from acoustic emission
Original language description
This paper presents an algorithm that can identify turbocharger (TC) noise sources and estimate rotor speed using acoustic emission data. The method distinguishes between mechanical and aerodynamic noise by analysing frequency components and correlating them with artificially generated signals. A novel approach is introduced for estimating TC speed without direct sensor input, which relies on tone prominence and Gaussian pulse modelling. The algorithm improves accuracy by summing correlation coefficients across multiple signal windows, thereby reducing false positives. Once the speed has been determined, potential noise sources can be identified based on known frequency signatures. This technique enables the non-invasive diagnosis of TC noise behaviour, supporting improved acoustic comfort and regulatory compliance in automotive applications.
Czech name
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Czech description
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Project
<a href="/en/project/TN02000054" target="_blank" >TN02000054: Božek Vehicle Engineering National Center of Competence</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach

Publication year
2025
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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