Publication detail

Prediction of Vehicle further Operation and Fault ased on Tribo-diagnostic

VALIŠ, D. ŽÁK, L. CHALOUPKA, J.

Czech title

Předpověď provozua poruchz vozidla s využitím Tribodiagnostiky

English title

Prediction of Vehicle further Operation and Fault ased on Tribo-diagnostic

Type

conference paper

Language

en

Original abstract

The paper deals with the application of selected analytical methods for analysing field data from heavy off-road military vehicles. The information from the engine oil is interpreted in a form of polluting particles like particles from a wear process (e.g. Fe, Pb, Cu, etc.) and particles from oil deterioration itself (like Mn, Si, Zn, etc.).

Czech abstract

Příspěvek se zabývá aplikací vybraných analytických metod pro analýzu dat z těžkých vojenských terénních vozidel. Informace z motorového oleje je interpretován ve formě znečišťujících částic jako částic z procesu opotřebení (např Fe, Pb, Cu, atd.) a částic ze zhoršení oleje (jako Mn, Si, Zn, atd).

English abstract

The paper deals with the application of selected analytical methods for analysing field data from heavy off-road military vehicles. The information from the engine oil is interpreted in a form of polluting particles like particles from a wear process (e.g. Fe, Pb, Cu, etc.) and particles from oil deterioration itself (like Mn, Si, Zn, etc.).

Keywords in Czech

Motorové oleje, off-line diagnostika, zbytková životnost, optimalizace údržby

Keywords in English

Field data assessment, off-line diagnostics, residual life, maintenance optimization

RIV year

2014

Released

09.12.2014

Publisher

IEEE

Location

Malajsie

ISBN

978-1-4799-6410-9

Book

Proceedings of the 2014 IEEE IEEM

Pages from–to

33–37

Pages count

5

BIBTEX


@inproceedings{BUT112745,
  author="David {Vališ} and Libor {Žák} and Jiří {Chaloupka},
  title="Prediction of Vehicle further Operation and Fault ased on Tribo-diagnostic",
  booktitle="Proceedings of the 2014 IEEE IEEM",
  year="2014",
  month="December",
  pages="33--37",
  publisher="IEEE",
  address="Malajsie",
  isbn="978-1-4799-6410-9"
}