ENGINE RESIDUAL TECHNICAL LIFE ESTIMATION BASED ON TRIBO DATA

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14310%2F14%3A00076267" target="_blank" >RIV/00216224:14310/14:00076267 - isvavai.cz</a>

Nalezeny alternativní kódy

RIV/00216305:26210/14:PU108520 RIV/60162694:G43__/14:00501494

Výsledek na webu

—

DOI - Digital Object Identifier

—

Jazyk výsledku

angličtina

Název v původním jazyce

ENGINE RESIDUAL TECHNICAL LIFE ESTIMATION BASED ON TRIBO DATA

Popis výsledku v původním jazyce

The aim of the paper is to estimate a system technical life. When estimating a residual technical life statistically, a big amount of tribo-diagnostic data is used. This data serves as the initial source of information. It includes the information aboutparticles contained in oil which testify to oil condition as well as system condition. We focus on the particles which we consider to be interesting and valuable. This kind of information has good technical and analytical potential which has not been explored well yet. By modelling the occurrence of particles in oil we expect to find out when a more appropriate moment for performing preventive maintenance might come. The way of modelling and further estimation is based on the specific characteristics ofa regression analysis, fuzzy logic and diffusion processes-namely the Wiener process. Following the modelling results we could, in fact, set the principles of "CBM-Condition Based Maintenance".

Název v anglickém jazyce

ENGINE RESIDUAL TECHNICAL LIFE ESTIMATION BASED ON TRIBO DATA

Popis výsledku anglicky

The aim of the paper is to estimate a system technical life. When estimating a residual technical life statistically, a big amount of tribo-diagnostic data is used. This data serves as the initial source of information. It includes the information aboutparticles contained in oil which testify to oil condition as well as system condition. We focus on the particles which we consider to be interesting and valuable. This kind of information has good technical and analytical potential which has not been explored well yet. By modelling the occurrence of particles in oil we expect to find out when a more appropriate moment for performing preventive maintenance might come. The way of modelling and further estimation is based on the specific characteristics ofa regression analysis, fuzzy logic and diffusion processes-namely the Wiener process. Following the modelling results we could, in fact, set the principles of "CBM-Condition Based Maintenance".

Druh

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

CEP obor

BA - Obecná matematika

OECD FORD obor

—

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

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2014

Kód důvěrnosti údajů

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

Název periodika

Eksploatacja i Niezawodnosc ? Maintenance and Reliability

ISSN

1507-2711

e-ISSN

—

Svazek periodika

16

Číslo periodika v rámci svazku

2

Stát vydavatele periodika

PL - Polská republika

Počet stran výsledku

8

Strana od-do

203-210

Kód UT WoS článku

000333335200006

EID výsledku v databázi Scopus

—