T-Comm_Article 7_2_2022

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PARALLEL SYSTEM INFORMATION MODEL DIAGNOSTICS AND FORECASTING OF TECHNICAL CONDITION OF AIRCRAFT

Dmitry S. Koptev, Southwest State University, Kursk, Russia, d.s.koptev@mail.ru
Ivan E. Mukhin, Southwest State University, Kursk, Russia, makskatol21@yandex.ru

Abstract
To date, there is a contradiction between the ever-growing need to increase the degree of functional saturation of diagnostic tools and forecasting the current state of aircraft and the limited technical capabilities of diagnostic tools. The noted contradiction is constantly aggravated due to the ever-increasing complexity of aircraft and means of their automation, which requires a corresponding increase in the functionality of the means of monitoring the technical condition. All this leads to an unjustified increase in the weight and size indicators of diagnostic tools, which significantly affects the technical and economic indicators during the operation of aircraft. This article proposes an information model for a parallel system for diagnosing and predicting the technical condition of aircraft using the example of helicopters, characterizes the groups of sensors included in the system, and outlines the principles for solving problems of diagnosing and predicting the failure state of an aviation complex. A procedure is proposed for accumulating flight data on the parameters of critical components and assemblies on board a helicopter and a method of express analysis, which consists in monitoring in real time the trend of parameters and the rate of change of this trend to limit values. It has been proven that provision should be made for the issuance of emergency visual and audible indication to the helicopter crew about an emergency situation.

Keywords: aviation complex, helicopter, diagnostic and prognostic system, parametric synthesis, vibration sensor, semi-natural modeling.

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Information about authors:

Dmitry S. Koptev, Senior Lecturer, Department of Space Instrumentation and Communication Systems, Southwest State University, Kursk, Russia
Ivan E. Mukhin, Doctor of Technical Sciences, Senior Researcher, Professor of the Department of Space Instrumentation and Communication Systems, Southwest State University, Kursk, Russia