Other formats:
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 and 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, 2015, p.~1171-1175. ISBN~978-1-4799-6410-9. Available from: https://dx.doi.org/10.1109/IEEM.2014.7058823.
|