Prediction of vehicle further operation and fault based on tribo-diagnostic data

The paper deals with the application of selected analytical methods for analysing field data from heavy off-road military vehicles. The information from the engine oil is interpreted in a form of polluting particles like particles from a wear process (e.g. Fe, Pb, Cu, etc.) and particles from oil deterioration itself (like Mn, Si, Zn, etc.). These data have good technical and analytical potential which has not been explored well yet. A reasonable set of vehicles and their oil data from in-field-operation are available. Taking into account data processing we assume it will be possible to determine some changes. This may help to modify e.g. a system maintenance policy, estimate system operation and help with mission planning.