This paper presents a study and review of the data collected in an Engine Fault Diagnosis System using oil analysis, used for diagnose different industrial vehicle engines (trucks, buses, road construction equipment, etc.). This system is being used since the beginning of the 1990s decade.
The information acquired in this system has generated an important database that collects the information about the oil status at drain moment and further collateral information.
Knowledge about oil properties (viscosity, TBN, detergency), and oil contamination, (insolubles content, soot from combustion, fuel dilution, and water) during engine operation, provide an important information about lubricants efficiency, optimal drain period and engine status that it has a direct influence on vehicles running cost.
The study has been performed with a statistical tool which allows the characterisation of the main parameters of oil behaviour, in addition to the relationship between them.
The results obtained can be used to provide suggestions about the oil formulation to obtain optimal capabilities in the use of them on future engines