Zobrazeno 1 - 10
of 35
pro vyhledávání: '"Serhii Vladov"'
Publikováno v:
Journal of Sensor and Actuator Networks, Vol 13, Iss 5, p 66 (2024)
This article discusses the development of an enhanced monitoring and control system for helicopter turboshaft engines during flight operations, leveraging advanced neural network techniques. The research involves a comprehensive mathematical model th
Externí odkaz:
https://doaj.org/article/74804cd9176f4ddb97c77881141b871b
Autor:
Serhii Vladov, Arkadiusz Banasik, Anatoliy Sachenko, Wojciech M. Kempa, Valerii Sokurenko, Oleksandr Muzychuk, Piotr Pikiewicz, Agnieszka Molga, Victoria Vysotska
Publikováno v:
Sensors, Vol 24, Iss 19, p 6488 (2024)
This research focused on the helicopter turboshaft engine dynamic model, identifying task solving in unsteady and transient modes (engine starting and acceleration) based on sensor data. It is known that about 85% of helicopter turboshaft engines ope
Externí odkaz:
https://doaj.org/article/f12d01e283124c289b0e20fd707306fa
Autor:
Serhii Vladov, Victoria Vysotska, Valerii Sokurenko, Oleksandr Muzychuk, Mariia Nazarkevych, Vasyl Lytvyn
Publikováno v:
Applied System Innovation, Vol 7, Iss 5, p 88 (2024)
This article advances the research on the intelligent monitoring and control of helicopter turboshaft engines in onboard conditions. The proposed neural network system for anomaly prediction functions as a module within the helicopter turboshaft engi
Externí odkaz:
https://doaj.org/article/880d9e06b5514b8cb1006254ea316418
Autor:
Serhii Vladov, Lukasz Scislo, Valerii Sokurenko, Oleksandr Muzychuk, Victoria Vysotska, Anatoliy Sachenko, Alexey Yurko
Publikováno v:
Energies, Vol 17, Iss 16, p 4033 (2024)
The work is devoted to the helicopter turboshaft engines’ gas generator rotor R.P.M. neuro-fuzzy controller development, which improves control accuracy and increases the system’s stability to external disturbances and adaptability to changing op
Externí odkaz:
https://doaj.org/article/701053e32f744cbaaff16b48b1b40aaa
Publikováno v:
Energies, Vol 17, Iss 16, p 4195 (2024)
A modified onboard neuro-fuzzy adaptive (NFA) helicopter turboshaft engine (HTE) automatic control system (ACS) is proposed, which is based on a circuit consisting of a research object, a regulator, an emulator, a compensator, and an observer unit. I
Externí odkaz:
https://doaj.org/article/86549fefff6240279d3a6f178c3b45ef
Autor:
Serhii Vladov, Lukasz Scislo, Valerii Sokurenko, Oleksandr Muzychuk, Victoria Vysotska, Serhii Osadchy, Anatoliy Sachenko
Publikováno v:
Sensors, Vol 24, Iss 13, p 4246 (2024)
The article’s main provisions are the development and application of a neural network method for helicopter turboshaft engine thermogas-dynamic parameter integrating signals. This allows you to effectively correct sensor data in real time, ensuring
Externí odkaz:
https://doaj.org/article/c340ea5c38984c82ae73156f0529beec
Publikováno v:
Applied System Innovation, Vol 7, Iss 3, p 53 (2024)
The research aims to develop a neural network-based lost information restoration method when the complex nonlinear technical object (using the example of helicopter turboshaft engines) sensors fail during operation. The basis of the research is an au
Externí odkaz:
https://doaj.org/article/f384ec6967c0448a8421471d7eee5dc2
Publikováno v:
Energies, Vol 17, Iss 9, p 2233 (2024)
The work is devoted to the development of a method for neural network approximation of helicopter turboshaft engine parameters, which is the basis for researching engine energy characteristics to improve efficiency, reliability, and flight safety. It
Externí odkaz:
https://doaj.org/article/b64e28a44f0f46a692d41075c33c3cbc
Publikováno v:
Сучасний стан наукових досліджень та технологій в промисловості, Iss 4 (14) (2020)
Предметом дослідження в статті є авіаційний двигун ТВ3-117 та методи контролю і діагностики його технічного стану. Мета роботи – розробка
Externí odkaz:
https://doaj.org/article/e99d62f86814400d97014dd81f4946bf
Autor:
Serhii Vladov, Yurii Shmelov, Liudmyla Pylypenko, Kyrylo Kotliarov, Svitlana Hrybanova, Oksana Husarova
Publikováno v:
Сучасний стан наукових досліджень та технологій в промисловості, Iss 4 (10) (2019)
Предметом дослідження в статті є авіаційний двигун ТВ3-117 та методи контролю і діагностики його технічного стану. Мета роботи – розробка
Externí odkaz:
https://doaj.org/article/2cec319b940247b6836e370e300b3918