Estimation of residual life based on vehicle tribo data

D 2014

Estimation of residual life based on vehicle tribo data

VALIŠ, David a Ondřej POKORA

Základní údaje

Originální název

Estimation of residual life based on vehicle tribo data

Autoři

VALIŠ, David (203 Česká republika, garant) a Ondřej POKORA (203 Česká republika, domácí)

Vydání

Bangkok, IEEE International Conference on Industrial Engineering and Engineering Management, od s. 1427-1431, 5 s. 2014

Nakladatel

IEEE Computer Society

Další údaje

Jazyk

angličtina

Typ výsledku

Stať ve sborníku

Obor

20306 Audio engineering, reliability analysis

Stát vydavatele

Spojené státy

Utajení

není předmětem státního či obchodního tajemství

Forma vydání

tištěná verze "print"

Kód RIV

RIV/00216224:14310/14:00086996

Organizační jednotka

Přírodovědecká fakulta

ISBN

978-1-4799-0986-5

ISSN

DOI

http://dx.doi.org/10.1109/IEEM.2013.6962646

UT WoS

000395631500284

Klíčová slova anglicky

field data assessment; first hitting time; maintenance optimization; off-line diagnostics; residual life

Štítky

AKR

Příznaky

Mezinárodní význam, Recenzováno

Změněno: 26. 8. 2020 10:56, Mgr. Marie Šípková, DiS.

Anotace

V originále

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.

Citovat

VALIŠ, David a Ondřej POKORA. Estimation of residual life based on vehicle tribo data. In IEEE International Conference on Industrial Engineering and Engineering Management. Bangkok: IEEE Computer Society, 2014, s. 1427-1431. ISBN 978-1-4799-0986-5. Dostupné z: https://dx.doi.org/10.1109/IEEM.2013.6962646.

@inproceedings{1339259,
   author = {Vališ, David and Pokora, Ondřej},
   address = {Bangkok},
   booktitle = {IEEE International Conference on Industrial Engineering and Engineering Management},
   doi = {http://dx.doi.org/10.1109/IEEM.2013.6962646},
   keywords = {field data assessment; first hitting time; maintenance optimization; off-line diagnostics; residual life},
   howpublished = {tištěná verze "print"},
   language = {eng},
   location = {Bangkok},
   isbn = {978-1-4799-0986-5},
   note = {Opraven obor publikace},
   pages = {1427-1431},
   publisher = {IEEE Computer Society},
   title = {Estimation of residual life based on vehicle tribo data},
   year = {2014}
}

TY  - JOUR
ID  - 1339259
AU  - Vališ, David - Pokora, Ondřej
PY  - 2014
TI  - Estimation of residual life based on vehicle tribo data
PB  - IEEE Computer Society
CY  - Bangkok
SN  - 9781479909865
N1  - Opraven obor publikace
KW  - field data assessment
KW  - first hitting time
KW  - maintenance optimization
KW  - off-line diagnostics
KW  - residual life
N2  - 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.
ER  -

VALIŠ, David a Ondřej POKORA. Estimation of residual life based on vehicle tribo data. In \textit{IEEE International Conference on Industrial Engineering and Engineering Management}. Bangkok: IEEE Computer Society, 2014, s.~1427-1431. ISBN~978-1-4799-0986-5. Dostupné z: https://dx.doi.org/10.1109/IEEM.2013.6962646.

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