On Approaches of Assessment of Tribo Data from Heavy Tracked Vehicle

Abstract:

The paper deals with application of selected analytical methods in order to analyse field data from heavy tracked 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 particles can give us information both about system state and about oil state. We have reasonable set of oil data from field operation available. Based on the data we assume being able to determine the system condition and propose some changes (e.g. in residual operation life, in maintenance modifications in the intervals, in mission planning, etc.). Selected methods like regression analysis and fuzzy inference system are used for the data assessment.

• Periodical: Applied Mechanics and Materials (Volume 436)
• Pages: 303-310
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.436.303
• Online since: October 2013
• Authors: David Valis*, Libor Zak, Agata Walek, Josef Glos
• Keywords: Field Data Assessment, Fuzzy Logic, Heavy Tracked Vehicle, Inputs to Maintenance Optimization, Off-Line Diagnostics, Regression Analysis, Residual Life Estimation, Tribo-Diagnostics

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