Diagnostics of pilot states and activity types basing on quantum representations

A new method is presented for determining the states and types of pilot activities using quantum representations constructed based on the analysis of Markov processes represented by transition probability matrices between the performed types of elementary operations and aircraft states. The obtained estimates allow us to speak of significant advantages of the new approach compared to the method of mutual likelihoods and the method of stationary probability distributions of the repetition of types of elementary operations and aircraft states. It is shown that the main reason determining these advantages is the possibility of analyzing observations in temporal dynamics, which is critically important for the correct diagnostics of pilot activities and is ignored in the case of traditional approaches.

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