APPLICATION OF THE MARKOV PROCESS EQUATIONS WITH DIAGNOSTIC OF THE STATE OF THE MI-8MTV HELICOPTER AIRCRAFT AT ITS OPERATION IN REAL OPERATION MODES
Urgency of the research. Operation of the Mi-8MTV helicopter continues not only in Ukraine, but also in other countries of the world. Thus, the actual scientific and practical task is to diagnose and predict the changes in the operating state of the Mi-8MTV helicopter engine. Target setting. Proceeding from the fact that during the last decades the number of accidents of the Mi-8MTV helicopter amounted to several tens, an actual scientific and practical task is diagnostics and prediction of changes in the state of engine operation. Actual scientific researches and issues analysis. The problems of aircraft engineering diagnostics in Ukraine are dealt with by scientists from the National Aviation University, whose work consists in optimizing the processes of its maintenance with the help of information and control systems, but in their works the issues of studying the processes of aircraft engines are treated superficially. Uninvestigated parts of general matters defining. The investigation of the main modes of operation of the Mi-8MTV helicopter engine during its operation in real operating modes, that is, the determination of the time of transitions from one mode of operation of the engine to another, which will enable the development of information management system for diagnosing and forecasting the state of the engine of the Mi-8MTV helicopter. The research objective. Development of a mathematical model for studying the main modes of operation of the Mi8MTV helicopter engine during its operation in real operating modes. The statement of basic materials. The analysis of operation peculiarities and possible operating modes of the aircraft engine of the Mi-8MTV helicopter is carried out. The necessity of application of the Markov process for monitoring the state of aircraft engines is substantiated. A mathematical model for the definition and description of the state of aircraft engines has been developed and proposed for further implementation. Conclusions. The resulting equations describing the failure of one of the engines show that the value of φi depends on the occurrence rate of the event, despite the type of process, which will allow us to apply standard methods for constructing an algorithm for determining the continuous Markov process when simulating the operation of the Mi-8MTV helicopter engine.