Digital twins technology in the educational process of the aviation equipment repair

Koshekov Kairat, Pirmanov Ildar, Alibekkyzy Karygash, Belginova Saule, Karymsakova Indira, Karmenova Markhaba, Baidildina Aizhan

Abstract


The article considers the digital transformation of the aviation industry based on twins of maintenance and repair. As a result of digitization, a set of documents and application software are formed in a virtual reality environment. The concept of a digital twin is presented in the context of a model-based system design of the helicopter maintenance process according to the technical regulations. Based on statistical modeling technologies, a model for assembling aircraft units has been developed, in which time characteristics are qualitative estimates of learning processes and the effectiveness of digital twins. The results of experimental studies based on the method of analysis of students' certification using digital twins in the assembly of aircraft units are presented. It has been established that at the production site of an aircraft repair enterprise it is effective to apply training at the first stage using digital twins, and at the second stage using real objects. Based on analytical and experimental studies, regression models are proposed for the relationship between the optimal number of trainings at the second stage and the relative coefficient of training time for successful training and certification of mechanics and electronics engineers.

Keywords


Aviation; Digital twin; Helicopter; Models; Regression; Repair; Training

Full Text:

PDF

References


D.Nadler, Sh. Khibino, “Thinking of a breakthrough” - Minsk.: Potpourri LLC, 1999. - 496 p. ISBN: 985-438-170-6

E.Glaessgen., D.Starge, “The Digital Twin Paradigm for Future NASA and U.S. Air Force Vehicles” 53rd AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics and Materials Conference, 20th AI 23 - 26 April 2012, Honolulu, Hawai, doi:10.2514/6.2012-1818

M. Grieves, “Origins of the Digital Twin Concept”, working paper, Florida Institute of Technology, 2016 doi: https:www.researchgate.net/publication/307509727Origins_of_the_Digital_Twin_Concept.

“On approval of the State Program "Digital Kazakhstan" (in Russian), Decree of the Government of the Republic of Kazakhstan, Dec. 12, 2017, № 827. Accessed: May 30, 2018. [Online]. Available: https://adilet.zan.kz/rus/docs/P1700000827.

Y. Marzhan, K. Talshyn, K. Kairat, B. Saule, A. Karlygash, and O. Yerbol, “Smart technologies of the risk-management and

decision-making systems in a fuzzy data environment,” Indonesian Journal of Electrical Engineering and Computer Science (IJEECS), vol. 28, no. 3, pp. 1463-1474, Dec. 2022, doi: 10.11591/ijeecs.v28.i3.pp1463-1474.

K. Аlibekkyzy, W. Wojcik, K. Vyacheslav, and S. Belginova, “Robust data transfer paradigm based on VLC technologies,” Journal of Theoretical and Applied Information Technology, vol. 99, no. 3, Feb. 2021.

K. K. Chandriah and N. V. Raghavendra, “Multi-objective optimization for preemptive & predictive supply chain operation,” International Journal of Electrical and Computer Engineering (IJECE), vol. 10, no. 2, pp. 1533-1543, 2020, doi:10.11591/ijece.v10i2.pp1533-1543.

J. Voas, P. Mell, V. Piroumian, “Considerations for digital twin technology and emerging standards”, Nat. Inst. Standards Technol., Gaithersburg, MD, USA, NISTIR 8356, 2021. doi: https://csrc.nist.gov/publications/detail/nistir/8356/draft.

M. Yesmagambetova, T. Ten, T. Ospanova, S. Belginova, and K. Alibekkyzy, “Digital modeling of decision-making risks in natural and man-caused critical situations,” Journal of Theoretical and Applied Information Technology, vol.100, no 15, pp. 4628-4640,2022.

K.Koshekov, K .Alibekkyzy, B.Toiganbayev, S.Belginova, T.Keribayeva, V.Tulaev, A. Koshekov, “Formalization of risk management in the context of digital business transformation,” Indonesian Journal of Electrical Engineering and Computer Science (IJEECS), Vol. 30, No. 3, June 2023, pp. 1428~1439 ISSN: 2502-4752, DOI: 10.11591/ijeecs.v30.i3.pp1428-1439

J. Reis, M. Amorim, N. Melão, and P. Matos, “Digital transformation: a literature review and guidelines for future research,”WorldCIST'18 2018: Trends and Advances in Information Systems and Technologies, Mar. 2018, pp. 411-421, doi: 10.1007/978-3-319-77703-0_41.

M. Alenezi, “Ontology-based context-sensitive software security knowledge management modeling,” International Journal of Electrical and Computer Engineering (IJECE), vol. 10, no. 6, pp. 6507–6520, 2020, doi: 10.11591/ijece. v10i6.pp6507-6520.

S. N. Luko, “Risk assessment techniques,” Quality Engineering, vol. 26, no. 3, pp. 379-382, 2014, doi:10.1080/08982112.2014.875769

O. I. Larichev, “Theory and methods of decision-making, as well as the Chronicle of events in Magic Countries”: Textbook. — M.:Logos, 2000.

N. Wiener “Cybernetics, or control and communication in animal and machine,” [translation from English], M.: Nauka; Mainedition of publications for foreign countries, p. 344, 1983.

L. Sumaryanti, D. H. Kusuma, R. Widijastuti, and M. N. Muzaki, “Improvement security in e-business systems using hybridalgorithm,” TELKOMNIKA (Telecommunication Computing Electronics and Control), vol. 19, no. 5, pp. 1535-1543, 2021, doi:10.12928/telkomnika.v19i5.20403.

F.Lekerova, K.Koshekov, K.Alibekkyzy, S.Belginova, A.Bygubayeva, Ismailova R., “Digital twin of the quality management system for environmental control of the near-airdom environment” - Journal of Theoretical and Applied Information Technology 30th June 2023. Vol.101. № 12, E-ISSN: 1817-3195

D. Dang-Pham, A.-P. Hoang, D.-T. Vo, and K. Kautz, “Digital Kaizen: an approach to digital transformation,” Australasian Journal of Information Systems, vol. 26, 2022, doi: 10.3127/ajis.v26i0.3851

C. H. Juang, L. Wang, Z. Liu, and N. Ravichandran, “Robust geotechnical design of drilled shafts in sand: new design perspective,” Journal of Geotechnical and Geoenvironmental Engineering, vol. 139, no. 12, pp. 2007-2019, 2013, doi: 10.1061/(ASCE)GT.1943-5606.0000956

J. Ferber, O. Gutknecht, and F. Michel, “From agents to organizations: an organizational view of multi-agent systems,” AOSE 2003:Agent-Oriented Software Engineering IV, Springer Berlin Heidelberg, 2004 pp. 214-230, doi: 10.1007/978-3-540-24620-6_15

Koshekov, K.T., Klikushin, Y.N., Kobenko, V.Y., Evdokimov, Y.K., Demyanenko, A.V. “Fuel cell diagnostics using identification measurement theory” Journal of Fuel Cell Science and Technology, 2014, 11(5), 051003, doi: https://doi.org/10.1115/1.4027395

M. Alenezi, “Ontology-based context-sensitive software security knowledge management modeling,” International Journal of Electrical and Computer Engineering (IJECE), vol. 10, no. 6, pp. 6507–6520, 2020, doi: 10.11591/ijece. v10i6.pp6507-6520.

Denis Khitrykh, “Digital twin: concept, levels, connection to the Internet of Things and the role of numerical and system modeling”, (in Russian), [Online].Available:https://sapr.ru/article/26079

B .Toiganbayev, K. Koshekov, K. Alibekkyzy, S .Belginova, A. Denissova, A. Koshekov, А. Baidildina, “Risk assessment of control and decision-making in the aircraft control system” Journal of Theoretical and Applied Information Technology 31st March 2023. Vol.101. No 6, E-ISSN: 1817-3195

Y.N Klikushin, K.T Koshekov., V.Y.Kobenko, E.S.Trunin, “An algorithm for evaluating the state of a generating unit based on the identification measurements of vibrosignals” Russian Journal of Nondestructive Testing, 2014, 50(7), страницы 413–418

doi: https://doi.org/10.1134/S1061830914070055




DOI: http://doi.org/10.11591/ijeecs.v32.i2.pp752-762

Refbacks

  • There are currently no refbacks.


Creative Commons License
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

The Indonesian Journal of Electrical Engineering and Computer Science (IJEECS)
p-ISSN: 2502-4752, e-ISSN: 2502-4760
This journal is published by the Institute of Advanced Engineering and Science (IAES) in collaboration with Intelektual Pustaka Media Utama (IPMU).

shopify stats IJEECS visitor statistics