Satskevich N.E., Kurnosov A.F., Galynsky A.A.

Intellectual system for diagnostics of transport and technological machines based on identified impulse-power characteristics of the engine

The article presents the results of theoretical and experimental research on the justification and development of an intelligent machine diagnostics system based on the principles of a neural network. As an input data stream, it is proposed to use the pulse-power characteristics of the engine. The advantage of the proposed diagnostic system is the ability to maintain the operational state of transport and technological machines, provided that the processes of diagnostics and analysis of the obtained data are automated. The use of an intelligent diagnostic system will not only determine the cause of failure based on the existing symptoms, but also evaluate the efficiency of machines

Keywords:INTERNAL COMBUSTION ENGINE, DIAGNOSTICS, PULSE-FORCE CHARACTERISTICS, NEURAL NETWORK