Pechenina, Ekaterina Y.

2023

• 1 Pechenin V., Pechenina E., Bolotov M. Predictive model for compressor impeller tightness // 2023 IX International Conference on Information Technology and Nanotechnology (ITNT). — 2023. —
• 2 Ginnyatulin R.R., Pechenina E.Yu., Pechenin V.A. Модель прогнозирования натягов в рабочем колесе компрессора // IX Международная конференция и молодёжная школа «Информационные технологии и нанотехнологии» (ИТНТ-2023). — 2023. — Vol. 4.
• 3 Pechenina E.Yu. Создание цифрового двойника процесса сборки рабочего колеса компрессора // Известия Самарского научного центра РАН 2023. — Vol. 25. № 1 (111). — P. 28-35

2022

• 1 Pechenin V., Pechenina E. Solving the part identification problem using their STL models // Journal of Physics: Conference Series. — 2022. — Vol. 2373(7).
• 2 Yu Pechenina E., Pechenin V.A., Bolotov M.A. Development of the compressor impeller configuration algorithm // Journal of Physics: Conference Series. — 2022. — Vol. 2373(6).
• 3 Pechenin V., Pechenina E., Bolotov M. etc. Development of a nozzle assembly technique using clustering methods // 2022 8th International Conference on Information Technology and Nanotechnology, ITNT 2022. — 2022. —

2021

• 1 Pechenin V., Bolotov M., Pechenina E. Comparison of Machine Learning Methods for Improving Assembly Operations // Proceedings of ITNT 2021 - 7th IEEE International Conference on Information Technology and Nanotechnology. — 2021. —
• 2 Pechenin V., Pechenina E., Bolotov M. etc. Reducing the labor intensity of technological operations using computer vision system // Proceedings of ITNT 2021 - 7th IEEE International Conference on Information Technology and Nanotechnology. — 2021. —
• 3 Pechenina E., Pechenin V., Bolotov M. Comparative analysis of neural network architectures for industrial machine vision system // 2021 International Scientific and Technical Engine Conference (EC). — 2021. — P. 1-4
• 4 Pechenina E., Pechenin V., Bolotov M. Neural network training procedure for machine vision systems in aerospace industries // AIP Conference Proceedings. — 2021. — Vol. 2402.
• 5 Pechenina E.Yu., Pechenin V.A., Bolotov M.A. Model of analysis of the results of geometry scanning of turbine nozzles // III International Scientific Conference MIP: Engineering-III 2021: Modernization, Innovations, Progress: Advanced Technologies in Material Science, Mechanical and Automation Engineering. — 2021. — Vol. 1155.
• 6 Bolotov M.A., Pechenin V.A., Yu Pechenina E. etc. Digital model to optimize the rotor assembly for aircraft engine compressor models // Journal of Physics: Conference Series. — 2021. — Vol. 1745. Issue 1.

2020

• 1 Pechenin V.A., Bolotov M.A., Pechenina E.Yu. Neural network model of machine parts classification by optical scanning results // Journal of Physics: Conference Series. — 2020. — Vol. 1515. Issue 5.
• 2 Pechenin V.A., Pechenina E.Y., Bolotov M.A. Neural Network Model to Forecast of Part Measuring Uncertainties // 2020 International Multi-Conference on Industrial Engineering and Modern Technologies, FarEastCon 2020. — 2020. —
• 3 Bolotov M., Pechenin V., Balyakin D. etc. Simulation of a gas turbine engine rotor assembly // Journal of Physics: Conference Series. — 2020. — Vol. 1553. Issue 1.
• 4 Pechenin V., Bolotov M., Pechenina E. etc. Creation of neural network models to solve the problems of forecasting the product geometrical accuracy // CEUR Workshop Proceedings. — 2020. — Vol. 2667. — P. 144-148

2019

• 1 Kolchina Ekaterina Yurevna, Pechenin V.A., Bolotov M.A. etc. Модель прогнозирования вибрационного состояния роторов // MODEL FOR PREDICTING THE VIBRATION STATE OF ROTORS. — 2019. — Vol. 1. — P. 365-367
• 2 Bolotov M.A., Pechenin V.A., Ruzanov N.V. etc. Surface recognition of machine parts based on the results of optical scanning // CEUR Workshop Proceedings. — 2019. — Vol. 2391. — P. 342-349

2018

• 1 Boltov M.A., Kolchina E.J., Pechenin V.A. etc. Prediction of the vibration state of the GTE turbine rotor taking into account the influence of the geometric accuracy of parts // IOP Conference Series: Materials Science and Engineering. — 2018. — Vol. 450. Issue 2.
• 2 Bolotov M., Pechenin V., Kolchina E. Investigation of the vibration state of the turbine rotor taking into account the influence of geometric accuracy of parts // MATEC Web of Conferences. — 2018. — Vol. 224.