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VALIŠ, D. ŽÁK, L. CHALOUPKA, J.
Original Title
Prediction of further Operation based on Vehicle Tribo Data
Type
conference paper
Language
English
Original Abstract
The paper deals with application of selected analytical methods for analysing field data from heavy offroad military vehicles. The information from the engine oil are interpreted in form of polluting particles like particles from wear process (e.g. Fe, Pb, Cu, etc.) and particles from oil deterioration itself (like Mn, Si, Zn, etc.). These pieces of information have good technical and analytical potential which has not been explored well yet. There is available reasonable set of vehicles and their oil data from in-fieldoperation. Based on the data we assume it will be possible to determine some changes in the system. This may help to change e.g. the system maintenance policy, may estimate system operation and help in mission planning.
Keywords
Field data assessment, off-line diagnostics, residual life, maintenance optimization
Authors
VALIŠ, D.; ŽÁK, L.; CHALOUPKA, J.
RIV year
2013
Released
10. 10. 2013
ISBN
978-1-4799-0986-5
Book
Proceedings of the 2013 IEEE IEEM, Bangkok
Pages from
44
Pages to
48
Pages count
5
BibTex
@inproceedings{BUT106784, author="David {Vališ} and Libor {Žák} and Jiří {Chaloupka}", title="Prediction of further Operation based on Vehicle Tribo Data", booktitle="Proceedings of the 2013 IEEE IEEM, Bangkok", year="2013", pages="44--48", isbn="978-1-4799-0986-5" }