Abstract
The article is devoted to the evaluation of current technical condition of aircraft engines. Deals with the choice of the detection method of diagnostic features required for degradation assessment, emergency protection and detection of incipient defects on the example of cyclic machines and mechanisms. For the formation of diagnostic features in the diagnosis of aircraft engines use different physical effects (vibration, shock, heat radiation, electrodynamic and thermal processes, wear debris in oil, etc.). Classification of defects and requirements for the development of diagnostics systems is formed based on them. The article describes the requirements for diagnostic signs. The article provides a promising phase method that allows obtaining stable diagnostic characters in exploitation. The result of applying the method is shown. Diagnostic signs are formed. In mathematical modeling it was used the traditional theory of the description of rotary mechanisms. The data obtained are compared with experimental data.
Highlights
The task of assessing the technical condition of mechanical and electromechanical systems and predict their trouble-free operation is solved, as a rule, on the basis of a large volume of statistical data and failure analysis
This article focuses on the consistent diagnostic features necessary for the registration of the degradation and identification of incipient defects in functional diagnostics
To assess the technical condition used the regular parameters and physical effects that occur in the process of working of gas turbine engine (GTE)
Summary
The task of assessing the technical condition of mechanical and electromechanical systems and predict their trouble-free operation is solved, as a rule, on the basis of a large volume of statistical data and failure analysis. Low metrological level of the results of measurement of vibration parameters (the relative error from 1 to 10 %) allows to obtain informative quantitative individual characteristics required to assess the current technical condition, determining incipient defects and prognosis. It remains a problem obtaining a stable diagnostic characters (or slowly changing) to assess the performance of rotor systems at all stages of the life cycle. In connection with the with-ranks of failed traditional methods and means to fully solve the problem of obtaining information about features of rotary mechanisms and to solve the problem of obtaining stable diagnostic features
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