Calculation of aircraft lever-float valves using neural networks


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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 Federation

D. 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 Federation

Yu. 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 Federation

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