Possibilities of Mathematical Modelling of Tribo-Diagnostics Data

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26210%2F13%3APU108511" target="_blank" >RIV/00216305:26210/13:PU108511 - isvavai.cz</a>

Výsledek na webu

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DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

Possibilities of Mathematical Modelling of Tribo-Diagnostics Data

Popis výsledku v původním jazyce

The paper deals with application of selected suitable analytical methods use to analyse field data from medium off-road military vehicles. Some pieces of information from oil are interpreted thank to diagnostics in form of polluting particles. Such particles represent processes in the engine like wear (e.g. Fe, Cu, Pb, etc.) and oil condition (like e.g. Mn, Si, Zn, etc.). These particles can give us information both about system state and about oil state. Thank to good recording system we have data fromfield operation available. Therefore we decided to use selected analytical ? algebraic methods for determining the specific particles generating trend. Based on the outcomes we hope to be able to determine the system condition (e.g. residual operation life, maintenance modifications in the intervals, etc.). Selected methods like regression analysis, base functions and fuzzy inference system will be used for the data assessment. The results itself might be beneficial in other forthcoming

Název v anglickém jazyce

Possibilities of Mathematical Modelling of Tribo-Diagnostics Data

Popis výsledku anglicky

The paper deals with application of selected suitable analytical methods use to analyse field data from medium off-road military vehicles. Some pieces of information from oil are interpreted thank to diagnostics in form of polluting particles. Such particles represent processes in the engine like wear (e.g. Fe, Cu, Pb, etc.) and oil condition (like e.g. Mn, Si, Zn, etc.). These particles can give us information both about system state and about oil state. Thank to good recording system we have data fromfield operation available. Therefore we decided to use selected analytical ? algebraic methods for determining the specific particles generating trend. Based on the outcomes we hope to be able to determine the system condition (e.g. residual operation life, maintenance modifications in the intervals, etc.). Selected methods like regression analysis, base functions and fuzzy inference system will be used for the data assessment. The results itself might be beneficial in other forthcoming

Druh

J_x - Nezařazeno - Článek v odborném periodiku (Jimp, Jsc a Jost)

CEP obor

BA - Obecná matematika

OECD FORD obor

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Projekt

<a href="/cs/project/GAP403%2F11%2F2085" target="_blank" >GAP403/11/2085: Konstrukce metod pro vícefaktorové měření komplexní podnikové výkonnosti ve vybraném odvětví.</a><br>

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Rok uplatnění

2013

Kód důvěrnosti údajů

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

Název periodika

Transport Means

ISSN

1822-296X

e-ISSN

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Svazek periodika

2013

Číslo periodika v rámci svazku

10

Stát vydavatele periodika

LT - Litevská republika

Počet stran výsledku

4

Strana od-do

216-219

Kód UT WoS článku

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EID výsledku v databázi Scopus

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