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

Identifikátory výsledku

  • Kód výsledku v IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26210%2F18%3APU136276" target="_blank" >RIV/00216305:26210/18:PU136276 - isvavai.cz</a>

  • Nalezeny alternativní kódy

    RIV/60162694:G43__/18:00534514 RIV/00216224:14310/18:00102083

  • Výsledek na webu

    <a href="https://www.sciencedirect.com/science/article/pii/S0301679X1930132X" target="_blank" >https://www.sciencedirect.com/science/article/pii/S0301679X1930132X</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>

Alternativní jazyky

  • 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

    Indirect diagnostic measures have big potential for estimating a system condition. One of these are oil data. Since the oil is in direct contact with the observed system, oil data are of great importance and value. Usually the authors analyse its physio-chemical properties, or the concentration of selected wear particles. In our article, however, 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

    Indirect diagnostic measures have big potential for estimating a system condition. One of these are oil data. Since the oil is in direct contact with the observed system, oil data are of great importance and value. Usually the authors analyse its physio-chemical properties, or the concentration of selected wear particles. In our article, however, 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.

Klasifikace

  • Druh

    J<sub>imp</sub> - Článek v periodiku v databázi Web of Science

  • CEP obor

  • OECD FORD obor

    20306 - Audio engineering, reliability analysis

Návaznosti výsledku

  • Projekt

  • Návaznosti

    S - Specificky vyzkum na vysokych skolach

Ostatní

  • Rok uplatnění

    2018

  • Kód důvěrnosti údajů

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

Údaje specifické pro druh výsledku

  • Název periodika

    Tribology International

  • ISSN

    0301-679X

  • e-ISSN

    1879-2464

  • Svazek periodika

    118

  • Číslo periodika v rámci svazku

    1

  • 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