Mathematical Model of the Pilot Associated Activities and Its Application for Objective Professional Training and Condition Assessment

Author:

Kuravsky L.S.1ORCID,Kozyrev A.D.1ORCID,Greshnikov I.I.2ORCID

Affiliation:

1. Moscow State University of Psychology and Education

2. State Research Institute of Aviation Systems (GosNIIAS)

Abstract

<p>A new approach to analysis and diagnostics of the pilots&rsquo; activities is presented, which makes it possible to compare both different options of the aircraft cockpit information and control field and the professional training of flight personnel from the viewpoint of application effectiveness. A mathematical model of the associated activities in use represents the pilot work via the matrix of transition probabilities, where transitions occur between the operations he performs. The approach under consideration is based on the convolution of the applied Markovian processes, which are created using the pilot activity protocols, into the quantum representations, making it possible to reveal the structure of these processes by the quantum spectral analysis. Application of the quantum filtering makes it possible to obtain quantitative diagnostic assessments of the pilot activity. Analysis of the experimental results for pilots of various training levels is given to demonstrate the possibility for assessing their professional skills as well as the prospects for using the proposed methods.</p>

Publisher

Moscow State University of Psychology and Education

Reference18 articles.

1. Greshnikov I.I., Kuravsky L.S., & Yuryev G.A. Printsipy postroeniya programmno-apparatnogo kompleksa dlya intellektual'noy podderzhki ekipazha i otsenki urovnya ego podgotovki [Principles of constructing a software and hardware complex for intellectual support of the crew and assessment of its training level]. Modelirovanie i analiz dannykh, 2021. 11(2), pp. 5—30. DOI:10.17759/mda.2021110201 (In Russ.).

2. Kuravsky L.S., Baranov S.N., Jur'ev G.A. Sintez i identifikacija skrytyh markovskih modelej dlja diagnostiki ustalostnogo razrushenija [Synthesis and identification of hidden Markov models for diagnostics of fatigue failure]. Nejrokomp'jutery: razrabotka i primenenie, 2010. No. 12, pp. 20—36. (In Russ.).

3. Kuravsky L.S., Yur'yev G.A., Yur'yeva N.E., Nikolaev I.A., Nesimova A.O., Polyakov B.Y., & Kozyrev A.D. Postroenie system psikhologicheskoy diagnostiki na osnove novykh matematicheskikh predstavleniy [Building psychological diagnostic systems based on new mathematical representations]. Eksperimental’naya psikhologiya, 2023. 16(2), pp. 188—212. DOI:10.17759/exppsy.2023160212 (In Russ.).

4. Kuravsky L.S., Yur'yeva N.E., Yur'yev G.A., Porokhin V.A., Greshnikov I.I., & Zlatomrezhev V.I. The Intelligent System for Flight Analysis V. 3.3 (ISFA V. 3.3). Certificate of registration of a computer program No. 2021668683. (In Russ.).

5. Markovskie modeli v zadachakh diagnostiki i prognozirovaniya [Markovian models in problems of diagnostics and forecasting]: Textbook / Ed. by L.S. Kuravsky. 2nd ed., add. M.: MGPPU Publishing House Publ., 2017. 197 p. (In Russ.).

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