Estimation of residual life based on vehicle tribo data

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14310%2F13%3A00140067" target="_blank" >RIV/00216224:14310/13:00140067 - isvavai.cz</a>

Nalezeny alternativní kódy

RIV/60162694:G43__/13:00498430

Výsledek na webu

<a href="http://dx.doi.org/10.1109/IEEM.2013.6962646" target="_blank" >http://dx.doi.org/10.1109/IEEM.2013.6962646</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1109/IEEM.2013.6962646" target="_blank" >10.1109/IEEM.2013.6962646</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Estimation of residual life based on vehicle tribo data

Popis výsledku v původním jazyce

The aim of the article 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 about particles contained in oil which testify to oil condition as well as system condition. We focus on the particles which we consider to be interesting. 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 adequate moment for performing preventive maintenance might come. The way of modelling is based on the specific characteristics of diffusion processes, namely the Wiener process. Following the modelling results we could in fact set the principles of 'CBM - Condition Based Maintenance'. However, the possibilities are much wider, since we can also plan operation and mission. All these steps result in inevitable cost saving.

Název v anglickém jazyce

Estimation of residual life based on vehicle tribo data

Popis výsledku anglicky

The aim of the article 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 about particles contained in oil which testify to oil condition as well as system condition. We focus on the particles which we consider to be interesting. 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 adequate moment for performing preventive maintenance might come. The way of modelling is based on the specific characteristics of diffusion processes, namely the Wiener process. Following the modelling results we could in fact set the principles of 'CBM - Condition Based Maintenance'. However, the possibilities are much wider, since we can also plan operation and mission. All these steps result in inevitable cost saving.

Druh

D - Stať ve sborníku

CEP obor

—

OECD FORD obor

20306 - Audio engineering, reliability analysis

Projekt

—

Návaznosti

S - Specificky vyzkum na vysokych skolach<br>I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2013

Kód důvěrnosti údajů

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

Název statě ve sborníku

IEEE International Conference on Industrial Engineering and Engineering Management

ISBN

9781479909865

ISSN

2157-3611

e-ISSN

—

Počet stran výsledku

5

Strana od-do

1427-1431

Název nakladatele

IEEE Computer Society

Místo vydání

Bangkok

Místo konání akce

Bangkok

Datum konání akce

10. 12. 2013

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

000395631500284