Skip to main content
Log in

Unerroric of assessment of professional competence for aviation personnel

  • Original Paper
  • Published:
Aerospace Systems Aims and scope Submit manuscript

Abstract

The questions connected with automation of testing of professional skills for aviation personnel on aircraft on-board facilities taking into account psychophysiological peculiarities of all tested persons are considered. The aim of the study is to find additional means of tightening the quality control of professional training for aviation personnel, taking into account the psychophysiological aspect of this control. To achieve the above-mentioned goal, the issues of tightening control for aviation personnel competence level during their training on computer simulators in conditions as close as possible to the real operating conditions of aviation equipment were solved. The research material is the obtained and processed information about the number of recorded changes in operating conditions of aviation equipment, the maximum speed for aviation personnel reaction to changes in its operating conditions, the median speed for aviation personnel reaction to changes in these conditions, the minimum speed of its reaction to changes in the same conditions, the number of decisions made by aviation personnel, the number of correctly made decisions, the number of incorrectly made decisions, and the maximum speed of decision-making by aviation personnel. In the process of research, the procedures of directed enumeration and comparative analysis for aviation personnel training results on computer simulators. When conducting the research, methods of software and hardware-software modeling for aviation personnel operation procedures on aircraft on-board facilities were used. The use of the so-called FLIGHTESTS as a set of individual tasks with control questions and electronic forms for the report on the performance of these tasks and answers to control questions is proposed. These FLIGHTESTS can and should be considered the basis for unerroric to assess the professional competence for aviation personnel. This unerroric will provide additional opportunities to tighten the quality control of professional training for aviation personnel.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5

Similar content being viewed by others

Data availability

No new data were created or analyzed in this study. Data sharing is not applicable to this article.

References

  1. Burova AY (2021) Methods and algorithms of turbojet engines thrust parameters control unerroric. J Phys Conf Ser 2096(1):012060

    Article  Google Scholar 

  2. Novichkov VM and Burova AY (2019) Algorithm of two turbojets thrust asymmetry minimization for digital control system of twin-engine jet airliner. In: 2019 International multi-conference on industrial engineering and modern technologies (FarEastCon), Vladivostok, Russia

  3. Burova AY (2019) Minimization of asymmetry of thrust of dual-flow turbojet engines of airliner in accordance with the results of system analysis of thrust parameters. Asia Life Sci Suppl 21(2):629–643

    Google Scholar 

  4. Evdokimenkov VN, Kim RV, Kozorez DA (2022) Standard profiles in assessment of the current condition of onboard aircraft systems and prediction of faults. Russ Eng Res 42(12):1299–1302

    Article  Google Scholar 

  5. Kozorez DA, Starkov AV (2022) Distribution of information fluxes in complex systems. Russ Eng Res 42(9):925–928

    Article  Google Scholar 

  6. Kravchenko T, Shevgunov T (2022) Development of expert unstructured decisionmaking support system. J Theor Appl Inf Technol 100(18):5418–5437

    Google Scholar 

  7. Kravchenko T, Shevgunov T (2023) Equivalent exchange method for decision-making in case of alternatives with incomparable attributes. Inventions 8(1):12

    Article  Google Scholar 

  8. Li Y, Volkov AV, Rabinskiy LN, Shemiakov AO (2020) Numerical modeling of scale effects for circular cylinder in the theory of thermoelastic materials with voids. J Appl Eng Sci 18(4):671–675

    Article  Google Scholar 

  9. Shemyakov AO, Vladimirova VG, Zadorin IV (2021) Expert assessment of approaches to connectivity in Russia’s arctic regions. Russ Eng Res 41(3):281–283

    Article  Google Scholar 

  10. Ukhov PA, Dmitrochenko BA, Ryapukhin AV (2021) The practice of technological deception in videoconferencing systems for distance learning and ways to counter it. Am Inv 10(40):153–168

    Google Scholar 

  11. Burova AY (2020) Digital signal processing without performing arithmetic multiplication operations. Am Inv 9(25):200–205

    Google Scholar 

  12. Burova A (2020) Reducing the error of digital algorithms for deductive signal processing based on their multi-stage discrete Fourier transform by the difference digital filters. In: 2020 22th International conference on digital signal processing and its applications (DSPA)

  13. Burova AY (2021) Concept of multistage discrete Fourier transform without performing multiplications. J Phys Conf Ser 1889(2):022003

    Article  Google Scholar 

  14. Burova A (2021) Digital signal multi-stage discrete fourier transform and its practical applications. In: 2021 23rd International conference on digital signal processing and its applications (DSPA)

  15. Burova AY, Ryapukhin AV, Muntyan AR (2020) Reduced hardware costs with software and hardware implementation of digital methods multistage discrete Fourier transform on programmable logic devices. Am Inv 9(27):227–233

    Google Scholar 

  16. Myshelov EP, Burova AY, Solyanik VV (2021) Quality control of professional training of standardization specialists and certification experts. Stand Qual 12:102–103

    Article  Google Scholar 

  17. Speransky VS (2008) Signal microprocessors and their application in telecommunication systems and electronics. Hot Line, Moscow

    Google Scholar 

  18. Speransky VS, Kosichkina TP (2021) Signal microprocessors and their application in communication systems and electronics. Hot Line, Moscow

    Google Scholar 

  19. Steshenko VB (2016) PLD implementation by firm ALTERA: element base, design system and hardware description languages. DMK-Press, Moscow

    Google Scholar 

  20. Vityazev VV, Vityazev SV (2007) Digital signal processing processors TMS320C67x of Texas Instruments. Ryazan State Radio Engineering University, Ryazan

    Google Scholar 

  21. Burova AY (2021) Hardware and software for multi-level working quality control of the operator of on-board location systems. In: All-Russian conference “The radio-electronic devices and systems for the infocommunication technologies” (“REDS-2021”). June 02–04, 2021, Moscow

  22. Bandura A (2008) Social cognitive theory of mass communication. In: Bryant J, Oliver MB (eds) Media effects: advances in theory and research. Routledge, New York

    Google Scholar 

  23. Bandura A (2011) The social and policy impact of social cognitive theory. In: Van Lange P, Kruglanski A, Higgins E (eds) Social psychology and evaluation. Guilford Press, New York

    Google Scholar 

  24. Bandura A (2015) Moral disengagement: how people do harm and live with themselves. Worth, New York

    Google Scholar 

Download references

Funding

The authors have not disclosed any funding.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Adeliya Yu. Burova.

Ethics declarations

Conflict of interest

Not applicable.

Rights and permissions

Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Sorokin, A.E., Burova, A.Y. Unerroric of assessment of professional competence for aviation personnel. AS (2023). https://doi.org/10.1007/s42401-023-00249-y

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1007/s42401-023-00249-y

Keywords

Navigation