Depending on the amount of data to process, file generation may take longer.

If it takes too long to generate, you can limit the data by, for example, reducing the range of years.

Article

Download file Download BibTeX

Title

Identification and Classification of Selected Internal Combustion Engine Inefficiency Based on Vehicle Structure Vibrations

Authors

Year of publication

2020

Published in

Vibrations in Physical Systems

Journal year: 2020 | Journal volume: vol. 31 | Journal number: no. 1

Article type

scientific article

Publication language

english

Keywords
EN
  • short-term analysis
  • Fourier transform
  • engine diagnostics
  • diagnostic matrix
Abstract

EN The combustion engine generates forced vibrations, caused by periodically acting external forces resulting from the combustion of the fuel-air mixture. Any changes in this process cause an increase in the value of vibration amplitude and a change in the distribution of harmonics dominating in the frequency domain. In order to identify selected malfunctions of the internal combustion engine of the Polaris off-road vehicle tested, its current parameters were correlated with the vibrations transmitted to the vehicle's structural elements. An integrated sensor for measuring acceleration using the direct method, made in MEMS technology, was used for the tests. The recorded signals of the acceleration components were subjected to analysis in the frequency domain, thus identifying the characteristic harmonic components in the analyzed spectrum. For the classification of incompleteness based on registered signals, a diagnostic inference matrix based on our own algorithm of conduct was used.

Pages (from - to)

2020110-1 - 2020110-16

DOI

10.21008/j.0860-6897.2020.1.10

URL

https://vibsys.put.poznan.pl/_journal/2020-31-1/articles/vibsys_2020110.pdf

License type

CC BY (attribution alone)

Full text of article

Download file

Access level to full text

public

Ministry points / journal

40

Ministry points / journal in years 2017-2021

70

This website uses cookies to remember the authenticated session of the user. For more information, read about Cookies and Privacy Policy.