Detail publikačního výsledku

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

KOCMAN, F.; NOVOTNÝ, P.; VACULA, J.; KRMÍČEK, A.

Originální název

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

Anglický název

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

Druh

Stať ve sborníku mimo WoS a Scopus

Originální abstrakt

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.

Anglický abstrakt

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.

Klíčová slova

turbocharger; acoustic emission; rotor speed estimation; non-invasive diagnostics

Klíčová slova v angličtině

turbocharger; acoustic emission; rotor speed estimation; non-invasive diagnostics

Autoři

KOCMAN, F.; NOVOTNÝ, P.; VACULA, J.; KRMÍČEK, A.

Rok RIV

2026

Vydáno

04.09.2025

Nakladatel

MENDELU, Faculty of AgriSciences, Department of Technology and Automobile Transport

Místo

Brno

ISBN

978-80-7701-051-1

Strany od

21

Strany do

29

Strany počet

9

URL

https://www.utad.cz/koka25/

BibTex

@inproceedings{BUT199102,
  author="František {Kocman} and Pavel {Novotný} and Jiří {Vacula} and Antonín {Krmíček}",
  title="Algorithm for turbocharger noise source recognition with speed identification from acoustic emission",
  year="2025",
  pages="21--29",
  publisher="MENDELU, Faculty of AgriSciences, Department of Technology and Automobile Transport",
  address="Brno",
  isbn="978-80-7701-051-1",
  url="https://www.utad.cz/koka25/"
}