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Calculation of aircraft lever-float valves using neural networks
- Authors: Pushkarev D.O.1, Kiselev D.Y.1, Kiselev Y.V.1
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Affiliations:
- Samara National Research University
- Issue: Vol 21, No 4 (2022)
- Pages: 44-51
- Section: AIRCRAFT AND SPACE ROCKET ENGINEERING
- URL: https://journals.ssau.ru/vestnik/article/view/11044
- DOI: https://doi.org/10.18287/2541-7533-2022-21-4-44-51
- ID: 11044
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Abstract
The possibility of using neural networks in aviation is shown, in particular in products intended for use in aviation technology. The possibility of using neural networks throughout the entire life cycle of aviation equipment products is analyzed. The advantages that can be obtained using neural networks are described. The main stages of creating a neural network model are analyzed and a description of each stage is presented. The difficulties associated with the practical application of models based on artificial intelligence are shown. The calculation of the operation of a lever-float valve is presented and a neural network model is made for its calculation using real operation and test data.
About the authors
D. O. Pushkarev
Samara National Research University
Author for correspondence.
Email: pushkarevdobez@mail.ru
ORCID iD: 0000-0003-1549-7585
Postgraduate Student of the Department of Aircraft Maintenance
Russian FederationD. Yu. Kiselev
Samara National Research University
Email: eat@inbox.ru
ORCID iD: 0000-0002-1478-3734
Candidate of Science (Engineering), Associate Professor of the Department of Aircraft Maintenance
Russian FederationYu. V. Kiselev
Samara National Research University
Email: zamivt@ssau.ru
ORCID iD: 0000-0003-0492-0878
Candidate of Science (Engineering), Associate Professor of the Department of Aircraft Maintenance
Russian FederationReferences
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