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APPLICATION OF AVIATEKHPOM SOFTWARE AND ALGORITHMS IN SOLVING AIRCRAFT REPAIR AND MAINTENANCE TASKS

https://doi.org/10.51955/2312-1327_2024_4_116

Abstract

Repair and maintenance in civil aviation are important processes for providing transportation safety. To improve the quality and efficiency of these processes is possible with the help of information technologies and artificial intelligence methods. At the same time, under the conditions of sanctions restrictions, it is urgent to expand the set of domestic software that implements both the functions of electronic technical manuals and decision support systems. One of these systems is the Aviation Technical Assistant (AviaTekhPom) platform.
The paper issues one of its components – a desktop application that contains the following subsystems: a troubleshooting support that uses both local knowledge base files and interacting with web service databases; an on-board maintenance system (OBMS) file reader; a dump analyzer of non-volatile memory of motor and actuator control electronics (MACE). The authors demonstrate the examples of the use of a desktop application for the RRJ-95 aircraft.

About the Authors

A. Yu. Yu. Yurin
Irkutsk National Research Technical University
Russian Federation

Aleksandr Yu. Yurin, Doctor of Technical Sciences, Professor

st. Lermontov, 83 Irkutsk, 664074



S. Yu. Utekhin
Moscow State Technical University of Civil Aviation (Irkutsk Branch)
Russian Federation

Sergey Yu. Utekhin

3, Kommunarov str. Irkutsk, 664003



References

1. Aamodt A., Plaza E. (1994). Case-based reasoning: foundational issues, methodological variations, and system approaches. AI Communications. 7(1): 39-59. DOI 10.3233/AIC-1994-7104.

2. AirNav-Maintenance (2024). Available at: https://www.airnav.com (accessed 06 October 2024). Certificate of state registration of software. № 2024615812. AviaTekhPom.Terminal. A. Y. Yurin EDN UKSFMB. (in Russian)

3. Chiu C., Chiu N. H., Hsu CI. (2004). Intelligent aircraft maintenance support system using genetic algorithms and case-based reasoningю. International Journal of Advanced Manufacturing Technology. 24: 440-446. DOI 10.1007/s00170-003-1707-x.

4. Dorodnykh N. O., Stolbov A. B., Nikolaychuk O. A., Yurin A. Yu. (2023). An Intelligent Assistant for Decision Support in the Case of Aircraft Troubleshooting. Proceedings of IX International Conference on Information Technology and Nanotechnology (ITNT). 1–5. DOI 10.1109/ITNT57377.2023.10139242.

5. IDSS.Desktop. Robo AviaTech (PSS RRJ-95) (2024). Available at: http://www.knowledgecore.ru/index.php?p=idss (accessed 06 October 2024).

6. Jackson P. (2001). Introduction to expert systems. Moscow: Williams, 2001. 623 p. (in Russian)

7. Kirpichev I. G., Petrov D. V., Chinyuchin Yu. M. (2020). Multifunctional integrated platform for maintenance of technical operation of aircraft. Scientific Bulletin of MSTU GA. 23(6): 28-37. DOI 10.26467/2079-0619-2020-23-6-28-39. (in Russian)

8. Kotlov Y., Popov V., Mishin S., Yurin A. (2023). Towards an Intelligent Decision Support System for Aircraft Troubleshooting // Proceedings of 10th International Conference on Recent Advances in Civil Aviation. Lecture Notes in Mechanical Engineering. 77-91. DOI 10.1007/978-981-19-3788-0_7.

9. Kotlov Yu. V. (2022). Models and algorithms of multi-criteria diagnostics of aviation systems. In the collection: Current problems and prospects for the development of civil aviation. Proceedings of the XI International Scientific and Practical Conference. 165-173. EDN AZXXRM. (in Russian)

10. Kotlov Yu. V., Nikolaychuk O. A., Yurin A. Yu. (2023). Using the Event Trees in the Automation and Intellectualization of Aircraft Diagnostics and Repair. Russian Aeronautics. 66(4): 222-228. DOI 10.3103/S1068799823040323.

11. Kotlov Yu. V., Yurin A. Yu. (2024). AviaTekhPom: State and prospects. Crede Experto: transport, society, education, language. 1: 146-156. DOI 10.51955/2312-1327_2024_1_146. (in Russian)

12. Lin R., Wang H., Wang J., Wang N. (2023). Knowledge representation and reuse model of civil aircraft structural maintenance cases. Expert Systems with Applications. 216: 119460. DOI 10.1016/j.eswa.2022.119460.

13. Makarov N. N. (2008). Synthesis of the algorithm for the functioning of the information control system for monitoring and diagnostics of the state of general aircraft equipment. Russian Aeronautics. 1: 46-50. DOI 10.3103/S1068799808010108.

14. MyBoeing Fleet (2024). Available at: https://www.myboeingfleet.com (accessed 06 October 2024).

15. Perfiliev O. V., Ryzhakov S. G., Dolzhikov V. A. (2018). Intelligent fault finding system on an airplane. Izvestiya Samara Scientific Center of the Russian Academy of Sciences. 4(3): 326-331. EDN YVOAHR. (in Russian)

16. Pollack S. L., Hicks Jr. H. T., Harrison W. J. (1974). Decision Tables: Theory and Practice. John Wiley & Sons Inc., 1974. 192 p.

17. ReleaseCMS (2024). Available at: https://yakovlev.ru/upload/doc/software/Presentation-ReleaseCMS_2021_RU-new.pdf (accessed 06 October 2024).

18. Seagle J. P., Duchessi P. (1995). Acquiring expert rules with the aid of decision tables. European Journal of Operational Research. 84(1): 150–162. DOI 10.1016/0377-2217(94)00323-5.

19. Sukhoi N. N., Rukavishnikov V. L. (2022). Expert systems – means of information support for aircraft crew decision making. Russian Aeronautics. 2: 19-25. DOI 10.3103/s1068799822020039.

20. Varshavskii P. R., Eremeev A. P. (2010). Modeling of case-based reasoning in intelligent decision support systems. Scientific and Technical Information Processing. 37(5): 336-345. EDN OMLMAZ. (in Russian)

21. Zryachev S. A., Larin S. N. (2022). Development of a knowledge base for after-sales service of aviation equipment. Izvestiya Samara Scientific Center of the Russian Academy of Sciences. 5: 48-53. DOI 10.37313/1990-5378-2020-22-5-48-53. (in Russian)


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For citations:


Yu. Yurin A.Yu., Utekhin S.Yu. APPLICATION OF AVIATEKHPOM SOFTWARE AND ALGORITHMS IN SOLVING AIRCRAFT REPAIR AND MAINTENANCE TASKS. Crede Experto: transport, society, education, language. 2024;(4):116-126. (In Russ.) https://doi.org/10.51955/2312-1327_2024_4_116

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ISSN 2312-1327 (Online)