International Scientific Journals
of Scientific Technical Union of Mechanical Engineering "Industry 4.0"

The article deals with monitoring of chemical elements during lifetime of military vehicles engine oil. Tribotechnical diagnosis is non-destructive and non-dismantling diagnostic method used lubricating oil as a source of information about the processes and changes in the mechanical systems to which it is applied. The paper deals with mathematical processing, tracking and analyzing data obtained from measurement tribo – diagnostics. For the analysis were used following methods AES and FTIR to monitor chemical elements, additives and contamination in engine oil. The increase in the metals and reduce the amount of additives were specially observed. The results were modelled using mathematical models to the value of the correlation coefficient R. The models can be used to predict the engine oil in the same or similar aggregates petrol engines.

Tribological diagnostics is a non-destructive and non-disassembling diagnostic method, that uses lubricating oil as a source of information about processes and changes in mechanical systems, to which it is applied. The paper deals with the mathematical processing, monitoring and analysis of the oil field data obtained from the atomic emission spectrometry in frame of the tribodiagnostic oil tests. The mathematical methods based on a regression analysis and calculations are used in the paper for oil data analysis. The whole assessment procedure and their outcomes serve as identification of a suitable approximation trend. With the same result we are capable of determining in-service operation history as well as giving inputs to maintenance optimisation. Nowadays the system requirements are set up and evaluated in various manners. We would like to keep both preventive and corrective maintenance costs as low as possible. A system design and a maintenance system help to fulfil this task. We propose to use one of the approximations presented in order to track the system operation behaviour.

Tribological diagnostics is a non-destructive and non-disassembling diagnostic method, that uses lubricating oil as a source of information about processes and changes in mechanical systems, to which it is applied. The paper deals with the mathematical processing, monitoring and analysis of the oil field data obtained from the atomic emission spectrometry in frame of the tribodiagnostic oil tests. The mathematical methods based on a regression analysis and calculations are used in the paper for oil data analysis. The whole assessment procedure and their outcomes serve as identification of a suitable approximation trend. With the same result we are capable of determining in-service operation history as well as giving inputs to maintenance optimisation. Nowadays the system requirements are set up and evaluated in various manners. We would like to keep both preventive and corrective maintenance costs as low as possible. A system design and a maintenance system help to fulfil this task. We propose to use one of the approximations presented in order to track the system operation behaviour.