Estimation of system residual useful life based on selected tribo data

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14310%2F14%3A00140066" target="_blank" >RIV/00216224:14310/14:00140066 - isvavai.cz</a>

Nalezeny alternativní kódy

RIV/60162694:G43__/14:00522412

Výsledek na webu

<a href="https://doi.org/10.1109/IEEM.2014.7058823" target="_blank" >https://doi.org/10.1109/IEEM.2014.7058823</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1109/IEEM.2014.7058823" target="_blank" >10.1109/IEEM.2014.7058823</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Estimation of system residual useful life based on selected tribo data

Popis výsledku v původním jazyce

The aim of the article is to estimate a system residual technical life. When estimating a residual technical life statistically, a big amount of tribo-diagnostic data is used. Data 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. They are Ferrum (Fe) and Lead (Pb). By modelling the occurrence of particles in oil we expect to determine the adequate moment to perform preventive maintenance and the length of residual system useful life. The way of modelling is based on the specific characteristics of diffusion processes, namely the Ornstein-Uhlenbeck process. Following the modelling results we could set the principles of 'CBM-Condition Based Maintenance'. However, the possibilities are much wider, since we can also plan operation, mission and reduce life cost.

Název v anglickém jazyce

Estimation of system residual useful life based on selected tribo data

Popis výsledku anglicky

The aim of the article is to estimate a system residual technical life. When estimating a residual technical life statistically, a big amount of tribo-diagnostic data is used. Data 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. They are Ferrum (Fe) and Lead (Pb). By modelling the occurrence of particles in oil we expect to determine the adequate moment to perform preventive maintenance and the length of residual system useful life. The way of modelling is based on the specific characteristics of diffusion processes, namely the Ornstein-Uhlenbeck process. Following the modelling results we could set the principles of 'CBM-Condition Based Maintenance'. However, the possibilities are much wider, since we can also plan operation, mission and reduce life cost.

Druh

D - Stať ve sborníku

CEP obor

—

OECD FORD obor

20306 - Audio engineering, reliability analysis

Projekt

—

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 statě ve sborníku

Industrial Engineering and Engineering Management (IEEM), 2014 IEEE International Conference on

ISBN

9781479964109

ISSN

2157-3611

e-ISSN

—

Počet stran výsledku

5

Strana od-do

1171-1175

Název nakladatele

IEEE Computer Society

Místo vydání

Selangor

Místo konání akce

Bandar Sunway

Datum konání akce

9. 12. 2014

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

—