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
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