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

3

Abstract

A new approach to analysis and diagnostics of the pilots’ 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.

General Information

Keywords: crew performance assessment, quantum representations, quantum filtering, Markovian processes

Journal rubric: Psychology of Labor and Engineering Psychology

Article type: scientific article

DOI: https://doi.org/10.17759/exppsy.2024170111

Received: 04.10.2023

For citation: Kuravsky L.S., Kozyrev A.D., Greshnikov I.I. Mathematical Model of the Pilot Associated Activities and Its Application for Objective Professional Training and Condition Assessment. Eksperimental'naâ psihologiâ = Experimental Psychology (Russia), 2024. Vol. 17, no. 1, pp. 161–180. DOI: 10.17759/exppsy.2024170111. (In Russ., аbstr. in Engl.)

References

  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.).
  6. Rubtsov V.V. Sotsial'no-geneticheskaya psikhologiya razvivayushchego obrazovaniya: deyatel'nostnyy podkhod [Socio-genetic psychology of developmental education: an activity approach]. Moscow: MGPPU, 2008. 416 p. (In Russ.).
  7. Kuravsky L.S., Yuryev G.A. A novel approach for recognizing abnormal activities of operators of complex technical systems: three non-standard metrics for comparing performance patterns. International Journal of Advanced Research in Engineering and Technology (IJARET), 2020. 11(4), pp. 119—136. URL: http://www.iaeme.com/IJARET/issues.asp?JType=IJARET&VType=11&IType=4 (Accessed 21.09.2023).
  8. Kuravsky L.S. Discriminant analysis based on the approaches of quantum computing. Lobachevskii J. Math., 2020. 41(12), pp. 2338—2344.
  9. Kuravsky L.S. Modeling Dynamical Behavior of Stochastic Systems: Spectral Analysis of Qubit Representations vs the Mutual Markovian Model Likelihood Estimations. Lobachevskii J. Math., 2021. 42 (10), pp. 2364—2376.
  10. Kuravsky L.S. Simplification of Solving Diagnostics Problems by Convolution of Applied Markovian Models into the Quantum Representations. Lobachevskii J. Math., 2022. 43(7), pp. 1669—1682.
  11. Kuravsky L.S., Greshnikov I.I., Yuryev G.A., and Zlatomrezhev V.I. Synthesis of Civil Aircraft Control Using Empirical Data and Quantum Filtering. Lobachevskii J. Math., 2023. 44(6), pp. 2077—2098.
  12. Kuravsky L.S., Yuryev G.A. Detecting Abnormal Activities of Operators of Complex Technical Systems and their Causes Basing on Wavelet Representations. International Journal of Civil Engineering and Technology (IJCIET), 2019. 10(2), pp. 724—742. URL: http://www.iaeme.com/IJCIET/issues.asp?JType=IJCIET&VType=10&IType=2 (Accessed 26.09.2023).
  13. Kuravsky L.S., Yuryev G.A., Zlatomrezhev V.I. New approaches for assessing the activities of operators of complex technical systems. Eksperimental’naya psikhologiya = Experimental psychology (Russia), 2019. Vol. 12, no. 4, pp. 27—49. DOI:10.17759/exppsy.2019120403
  14. Kuravsky L.S., Yuryev G.A., Zlatomrezhev V.I., Yuryeva N.E. Assessing the Aircraft Crew Actions with the Aid of a Human Factor Risk Model. Eksperimental’naya psikhologiya = Experimental Psychology (Russia), 2020. Vol. 13, no. 2, pp. 153—181. DOI:10.17759/exppsy.2020130211
  15. Lloyd E. Handbook of Applicable Mathematics. Vol. 6: Statistics / Ed. by W. Ledermann. Wiley, Hoboken, 1984.
  16. Nielsen Michael A. & Chuang Isaac L. Quantum Computation and Quantum Information. Cambridge: Cambridge University Press, 2010.
  17. von Neumann J. Mathematical Foundations of Quantum Mechanics. Princeton Univ. Press, Princeton, 1955.
  18. Wilkinson J.H. The Algebraic Eigenvalue Problem. Oxford: Clarendon Press, 1988.

Information About the Authors

Lev S. Kuravsky, Doctor of Engineering, professor, Dean of the Computer Science Faculty, Moscow State University of Psychology and Education, Moscow, Russia, ORCID: https://orcid.org/0000-0002-3375-8446, e-mail: l.s.kuravsky@gmail.com

Alexey D. Kozyrev, Post-Graduate Student, Moscow State University of Psychology and Education, Engineer, State Research Institute of Aviation Systems, Moscow, Russia, ORCID: https://orcid.org/0009-0008-1769-4121, e-mail: adkozyrev@2100.gosniias.ru

Ivan I. Greshnikov, PhD in Engineering, Lead Engineer, State Research Institute of Aviation Systems (GosNIIAS), Graduate Student, Moscow State University of Psychology and Education (MSUPE), Moscow, Russia, ORCID: https://orcid.org/0000-0001-5474-3094, e-mail: vvanes@mail.ru

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