Özet:

Efficiency of GTE in any field depends on the technical condition (TC) and operating economy. At present, one of the promising development areas of the maintenance and repair systems of GTE is the transition to the exploitation by the technical condition. The issue of increasing the efficiency of defining the current condition of the engine and forecasting trends in its vibration parameters that characterize this condition, e.i., diagnosing and predicting the future condition of the GTE plays an important role in solving this problem. Among the numerous methods of technical diagnostics of GTE, vibration diagnostics methods that are focused on using diagnostic information about oscillatory processes of machines and structures hold a special place. The basic problems of gas-turbine engine (GTE) diagnostics by the technical condition (TC) were described. The structural and functional description of intelligent system of automatic diagnostics and reconfiguration of control (ISADRC) over the GTE operating modes based on the integration of fuzzy logic and neural networks was proposed. The operating principle, training algorithm and software complex of the hybrid ISADRC were given. The feasibility of the hybrid ISADRC based on the radial-basis networks and fuzzy logic theory, integration of fuzzy logic and neural networks was substantiated. Theoretical and experimental capabilities of the developed ISADRC were investigated in order to assess its effectiveness for classifying the TC of the GTE and reconfiguring its operating modes. Author Biography Микола Петрович Кравчук, National Aviation University Komarova Ave, 1, Kiev, Ukraine, 03058 PhD, Assistant Automation and Energy Management Department

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