Data Processing in the Pilot Training Process on the Integrated Aircraft Simulator

Abstract Flight safety is an integral part of air transportation. accidents are highly unlikely to appear but most them caused by the human factor. The aircrew training system for abnormal operations relies on integrated aircraft simulator-based exercises. Crew needs be trained not degrade piloting technique quality when facing increased psychophysiological tension. Therefore, methods evaluating characteristics ergatic control systems, warning systems deterioration due failures in avionics quality, and operation algorithms necessary. An analysis bank angle has revealed that there hidden tension manifestations operator expressed transition flight parameter variation from a stationary random process deterministic fluctuations form sinusoid. goal research increase efficiency pilots’ using simulators based design implementation statistical data processing algorithms. To achieve research, two detecting Neyman-Pearson criterion optimal Bayesian developed. presented can used simulator software automate decision-making quality.