Oil additives used as indicator and input for preventive maintenance optimisation

Abstract

In this contribution we present selected mathematical — statistical methods which are used to analyse oil field data from heavy off-road military vehicles. We apply selected regression functions for description of the oil additives degradation in time. This helps for creating the picture about the system — vehicle engine in our case — in service operation behaviour. We investigate the oil field data which are further explored. The oil contains pieces of information both about the engine oil degradation as well as about the engine deterioration. These characteristics are indicated when analysing oil quality using characteristics such as changed viscosity, decreasing additives like Mn, Si, Zn, etc. Other published approaches present wear and polluting particles in oil (e.g. particles such as Fe, Pb, Cu, etc. from engine wear). The novelty here is to providing picture of oil deterioration as inputs to change e.g. life cycle costing, policy of item maintenance, operation and mission planning of the system.