Data Processing in the Pilots` Training Process on the Integrated Aircraft Simulator

Abstract

Flight safety is an integral part of air transportation. Flight accidents are highly unlikely to appear but about 80% of them are caused by the human factor. The aircrew`s training system for abnormal operations relies on integrated aircraft simulator-based exercises. It is necessary but still not enough. After the next accident that happened due to the inadequate actions of the crew, this case is worked through on an integrated aircraft simulator. However, a simultaneous combination of all flight situations is impossible to foresee. Crews need 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. Two algorithms indicating the presence of such an effect based on the Neyman-Pearson criterion and the optimal Bayesian criterion are developed in the article. The presented algorithms can be used in the integrated simulator software to automate the decision-making process on piloting quality.