Publication detail

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

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

English title

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

Type

Paper in proceedings outside WoS and Scopus

Language

en

Original abstract

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.

Keywords in English

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

Released

2025-09-04

Publisher

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

Location

Brno

ISBN

978-80-7701-051-1

Pages from–to

21–29

Pages count

9

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/"
}