Results 1 to 10 of about 1,527 (165)

Intelligent Method of Identifying the Nonlinear Dynamic Model for Helicopter Turboshaft Engines [PDF]

Sensors
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 operate
Serhii Vladov, Arkadiusz Banasik, Anatoliy Sachenko, Wojciech M. Kempa, Valerii Sokurenko, Oleksandr Muzychuk, Piotr Pikiewicz, Agnieszka Molga, Victoria Vysotska   +8 more
doaj   +6 more sources

Neural Network Approximation of Helicopter Turboshaft Engine Parameters for Improved Efficiency

Energies
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.
Serhii Vladov, Ruslan Yakovliev, Maryna Bulakh, Victoria Vysotska   +3 more
doaj   +4 more sources

Statistical learning for turboshaft helicopter accidents using logistic regression. [PDF]

PLoS ONE, 2020
The objective of this work is to advance the understanding of helicopter accidents by examining and quantifying the association between helicopter-specific configurations (number of main rotor blades, number of engines, rotor diameter, and takeoff weight)
Rachmat Subagia, Joseph Homer Saleh, Jared S Churchwell, Katherine S Zhang   +3 more
doaj   +2 more sources

Neural Network Signal Integration from Thermogas-Dynamic Parameter Sensors for Helicopters Turboshaft Engines at Flight Operation Conditions [PDF]

Sensors
The article’s main provisions are the development and application of a neural network method for helicopter turboshaft engine thermogas-dynamic parameter integrating signals.
Serhii Vladov, Lukasz Scislo, Valerii Sokurenko, Oleksandr Muzychuk, Victoria Vysotska, Serhii Osadchy, Anatoliy Sachenko   +6 more
doaj   +2 more sources

Helicopter Turboshaft Engines' Neural Network System for Monitoring Sensor Failures. [PDF]

Sensors (Basel)
An effective neural network system for monitoring sensors in helicopter turboshaft engines has been developed based on a hybrid architecture combining LSTM and GRU. This system enables sequential data processing while ensuring high accuracy in anomaly detection.
Vladov S, Ścisło Ł, Szczepanik-Ścisło N, Sachenko A, Perzyński T, Vasylenko V, Vysotska V.   +6 more
europepmc   +4 more sources

Study of On-line Performance Diagnostic Program of A Helicopter Turboshaft Engine [PDF]

Journal of the Korean Society for Aeronautical & Space Sciences, 2009
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Hyeok Ryu
exaly   +2 more sources

The effect of heat recovery on the optimal values of helicopter turboshaft engine parameters

Вестник Самарского университета: Аэрокосмическая техника, технологии и машиностроение, 2020
Recent studies related to fuel economy in air transport conducted in our country and abroad show that the use of recuperative heat exchangers in aviation gas turbine engines can significantly, by up to 20...30%, reduce fuel consumption.
H. H. Omar, V. S. Kuz'michev, A. O. Zagrebelnyi, V. A. Grigoriev   +3 more
doaj   +3 more sources

Method of Helicopter Turboshaft Engines’ Protection During Surge in Starting Mode

Energies
This article proposes a mathematical model for protecting helicopter turboshaft engines from surges, starting with fuel metering supply and maintaining stable compressor operation. The model includes several stages: first, fuel is supplied according to a
Denys Baranovskyi, Serhii Vladov, Maryna Bulakh, Victoria Vysotska, Viktor Vasylenko, Jan Czyżewski   +5 more
doaj   +2 more sources

Helicopters Turboshaft Engines Neural Network Modeling under Sensor Failure

Journal of Sensor and Actuator Networks
This article discusses the development of an enhanced monitoring and control system for helicopter turboshaft engines during flight operations, leveraging advanced neural network techniques.
Serhii Vladov, Anatoliy Sachenko, Valerii Sokurenko, Oleksandr Muzychuk, Victoria Vysotska   +4 more
doaj   +2 more sources

Method for Helicopter Turboshaft Engines Controlling Energy Characteristics Through Regulating Free Turbine Rotor Speed and Fuel Consumption Based on Neural Networks

Energies
This research is devoted to the development of a method for helicopter turboshaft engine energy characteristics control by regulating the free turbine rotor speed and fuel consumption using neural network technologies.
Serhii Vladov, Maryna Bulakh, Jan Czyżewski, Oleksii Lytvynov, Victoria Vysotska, Victor Vasylenko   +5 more
doaj   +3 more sources