AviaTekhPom: Status and Prospects
https://doi.org/10.51955/2312-1327_2024_1_146
Abstract
This paper discusses the results of a project to create an intelligent decision support system for troubleshooting aircraft failures and malfunctions by the Aviation Technical Assistant (AviaTekhPom). The main implemented algorithms, functions, architecture and prototype of the system are described, as well as the further direction of the project development. The Sukhoi Superjet power supply system was chosen as the target object for testing solutions. The current version of the system provides processing of information presented in cards of accounting of malfunctions of aviation equipment and troubleshooting manuals, based on approaches known as rule-based reasoning and case-based reasoning. For preparation and modification of knowledge bases, a tabular formalism of knowledge representation is used, which provides the possibility of using publicly available tabular editors and CSV format. The developed algorithms are implemented in the form of conceptual prototypes of a desktop application and a chat-bot.
About the Authors
Aleksandr Yu. Yurin
Irkutsk National Research Technical University
Russian Federation
Russian Federation
Aleksandr Yu. Yurin, Doctor of Technical Sciences,
83, Lermontov st., Irkutsk, 664074.
Yu. V. Kotlov
Moscow State Technical University of Civil Aviation (Irkutsk Branch)
Russian Federation
Russian Federation
Yuri V. Kotlov, Candidate of Technical Sciences, Associate Professor,
3, Kommunarov str., Irkutsk, 664003.
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Review
For citations:
Yurin A.Yu., Kotlov Yu.V. AviaTekhPom: Status and Prospects. Crede Experto: transport, society, education, language. 2024;(1):146-156. (In Russ.) https://doi.org/10.51955/2312-1327_2024_1_146
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