Další formáty:
BibTeX
LaTeX
RIS
@inproceedings{1339254,
author = {Vališ, David and Pokora, Ondřej},
address = {Selangor},
booktitle = {Industrial Engineering and Engineering Management (IEEM), 2014 IEEE International Conference on},
doi = {http://dx.doi.org/10.1109/IEEM.2014.7058823},
keywords = {Field data assessment; first hitting time; maintenance optimization; off-line diagnostics; residual life},
howpublished = {tištěná verze "print"},
language = {eng},
location = {Selangor},
isbn = {978-1-4799-6410-9},
note = {Opraven obor publikace},
pages = {1171-1175},
publisher = {IEEE Computer Society},
title = {Estimation of system residual useful life based on selected tribo data},
year = {2015}
}
TY - JOUR
ID - 1339254
AU - Vališ, David - Pokora, Ondřej
PY - 2015
TI - Estimation of system residual useful life based on selected tribo data
PB - IEEE Computer Society
CY - Selangor
SN - 9781479964109
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 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.
ER -
VALIŠ, David a Ondřej POKORA. Estimation of system residual useful life based on selected tribo data. In \textit{Industrial Engineering and Engineering Management (IEEM), 2014 IEEE International Conference on}. Selangor: IEEE Computer Society. s.~1171-1175. ISBN~978-1-4799-6410-9. doi:10.1109/IEEM.2014.7058823. 2015.
|
