Detail publikačního výsledku

On Approaches of Assessment of Tribo Data From Heavy Tracked Vehicle

VALIŠ, D.; ŽÁK, L.; CHALOUPKA, J.; WALEK, A.

Originální název

On Approaches of Assessment of Tribo Data From Heavy Tracked Vehicle

Anglický název

On Approaches of Assessment of Tribo Data From Heavy Tracked Vehicle

Druh

Stať ve sborníku v databázi WoS či Scopus

Originální abstrakt

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

Anglický abstrakt

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

Klíčová slova

Field data assessment, off-line diagnostics, inputs to maintenance optimization, tribodiagnostics, regression analysis, fuzzy logic, residual life estimation, heavy tracked vehicle.

Klíčová slova v angličtině

Field data assessment, off-line diagnostics, inputs to maintenance optimization, tribodiagnostics, regression analysis, fuzzy logic, residual life estimation, heavy tracked vehicle.

Autoři

VALIŠ, D.; ŽÁK, L.; CHALOUPKA, J.; WALEK, A.

Rok RIV

2014

Vydáno

07.05.2013

ISBN

978-3-03785-898-1

Kniha

Applied Mechanics and Materials, Zurich, Switzerland

Strany od

303

Strany do

310

Strany počet

8

BibTex

@inproceedings{BUT106786,
  author="David {Vališ} and Libor {Žák} and Jiří {Chaloupka} and Agata {Walek}",
  title="On Approaches of Assessment of Tribo Data From Heavy Tracked Vehicle",
  booktitle="Applied Mechanics and Materials, Zurich, Switzerland",
  year="2013",
  pages="303--310",
  isbn="978-3-03785-898-1"
}