Perspective approach in using anti-oxidation and anti-wear particles from oil to estimate residual technical life of a system

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60162694%3AG43__%2F18%3A00534514" target="_blank" >RIV/60162694:G43__/18:00534514 - isvavai.cz</a>

Nalezeny alternativní kódy

RIV/00216224:14310/18:00102083 RIV/00216305:26210/18:PU136276

Výsledek na webu

<a href="https://doi.org/10.1016/j.triboint.2017.09.017" target="_blank" >https://doi.org/10.1016/j.triboint.2017.09.017</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1016/j.triboint.2017.09.017" target="_blank" >10.1016/j.triboint.2017.09.017</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Perspective approach in using anti-oxidation and anti-wear particles from oil to estimate residual technical life of a system

Popis výsledku v původním jazyce

In our article we take into account a completely novel attitude towards anti-oxidation and anti-wear particles (AOWP). Their great importance lies in the fact that the AOWP concentration depends on both an operation time and a calendar time. Due to the extensive oil field data the dependence on an operation time and a calendar time is available. The development of the AOWP particles concentration is modelled stochastically with the use of the Wiener process with drift, or generally with a diffusion process. The aim is to set the trajectory of oil or engine degradation, and set the probability of an engine soft failure. In order to compare our results obtained by using the diffusion process of Wiener type we apply the Fuzzy Inference System (FIS). The results are expected to help us to estimate the residual technical life of a system, optimize the maintenance and make life cycle costs more effective. The system is meant to be the oil itself and the combustion engine where the oil is used.

Název v anglickém jazyce

Perspective approach in using anti-oxidation and anti-wear particles from oil to estimate residual technical life of a system

Popis výsledku anglicky

In our article we take into account a completely novel attitude towards anti-oxidation and anti-wear particles (AOWP). Their great importance lies in the fact that the AOWP concentration depends on both an operation time and a calendar time. Due to the extensive oil field data the dependence on an operation time and a calendar time is available. The development of the AOWP particles concentration is modelled stochastically with the use of the Wiener process with drift, or generally with a diffusion process. The aim is to set the trajectory of oil or engine degradation, and set the probability of an engine soft failure. In order to compare our results obtained by using the diffusion process of Wiener type we apply the Fuzzy Inference System (FIS). The results are expected to help us to estimate the residual technical life of a system, optimize the maintenance and make life cycle costs more effective. The system is meant to be the oil itself and the combustion engine where the oil is used.

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

—

OECD FORD obor

50902 - Social sciences, interdisciplinary

Projekt

—

Návaznosti

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2018

Kód důvěrnosti údajů

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

Název periodika

Tribology International

ISSN

0301-679X

e-ISSN

1879-2464

Svazek periodika

Únor 2018

Číslo periodika v rámci svazku

neuveden

Stát vydavatele periodika

GB - Spojené království Velké Británie a Severního Irska

Počet stran výsledku

14

Strana od-do

46-59

Kód UT WoS článku

000423004700005

EID výsledku v databázi Scopus

2-s2.0-85030179293