Prediction of further Operation based on vehicle Tribo data

The paper deals with application of selected analytical methods for analysing field data from heavy off-road 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 deteriora...

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Bibliographic Details
Main Authors: Valis, D., Zak, L., Chaloupka, J.
Format: Conference Proceeding
Language:English
Subjects:
Educational institutions
Engines
Field data assessment
Fuzzy logic
Iron
Maintenance engineering
maintenance optimization
off-line diagnostics
Regression analysis
residual life
Vehicles
Online Access:Request full text
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Summary:The paper deals with application of selected analytical methods for analysing field data from heavy off-road 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-field-operation. 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.
ISSN:2157-3611
2157-362X
DOI:10.1109/IEEM.2013.6962644