Flight safety is an integral part of air transportation. Flight accidents are highly unlikely to appear but most of them are caused by the human factor. The aircrew training system for abnormal operations relies on integrated aircraft simulator-based exercises. Crew needs to be trained not to degrade piloting technique quality when facing increased psychophysiological tension. Therefore, methods evaluating the characteristics of ergatic aircraft control systems, warning systems for deterioration due to failures in avionics systems, piloting technique quality, and abnormal operation algorithms are necessary. An analysis of the bank angle has revealed that there are hidden increased tension manifestations in the human operator expressed in the transition of the flight parameter variation from a stationary random process to deterministic fluctuations in the form of a sinusoid. The goal of the research is to increase the efficiency of pilots’ training using integrated aircraft simulators based on the design and implementation of statistical data processing algorithms. To achieve the goal of the research, two algorithms for detecting deterministic fluctuations based on the Neyman-Pearson criterion and the optimal Bayesian criterion are developed. The presented algorithms can be used in the integrated simulator software to automate the decision-making process on piloting quality.
The article presents aircraft flight data in the landing approach mode, which was obtained on an integrated flight simulator and in actual flight conditions, processed by various probabilistic-statistical methods. These data were used to assess the quality of flight crew piloting techniques. We have reviewed the methods based on the Neyman–Pearson criterion, and the optimal Bayesian criterion is considered. When using them, we revealed the presence of a deterministic sinusoidal component in the flight parameters. We also used the method of analyzing autocorrelation functions and the method of analyzing the spectra of flight parameters of normalized and unnormalized autocorrelation functions. In a comparative analysis of these methods, we have shown that the most informative approach is the analysis of the spectra of flight parameters of normalized and unnormalized autocorrelation functions. This paper shows that the successful completion of the landing stage largely depends on the accuracy of the aircraft entry to the glidepath intercept point.
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