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

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60162694%3AG43__%2F14%3A00522416" target="_blank" >RIV/60162694:G43__/14:00522416 - isvavai.cz</a>

Result on the web

<a href="http://vavtest.unob.cz/registr" target="_blank" >http://vavtest.unob.cz/registr</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1109/IEEM.2013.6962644" target="_blank" >10.1109/IEEM.2013.6962644</a>

Result language

angličtina

Original language name

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

Original language description

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 name

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Czech description

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Type

D - Article in proceedings

CEP classification

JS - Reliability and quality management, industrial testing

OECD FORD branch

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Project

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Continuities

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year

2014

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection

Proceedings of the 2014 IEEE IEEM

ISBN

978-1-4799-6410-9

ISSN

2157-3611

e-ISSN

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Number of pages

5

Pages from-to

1166-1170

Publisher name

IEEE

Place of publication

Malajsie

Event location

Kuala Lumpur, Malaysia

Event date

Jan 1, 2014

Type of event by nationality

WRD - Celosvětová akce

UT code for WoS article

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