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@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. Online. 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. [citováno 2024-04-23]
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