Results 1 to 10 of about 1,384 (146)

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   +2 more
exaly   +6 more sources

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

Sensors
An effective neural network system for monitoring sensors in helicopter turboshaft engines has been developed based on a hybrid architecture combining LSTM and GRU.
Serhii Vladov, Lukasz Scislo, Anatoliy Sachenko   +2 more
exaly   +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.
Victoria Vysotska, Maryna Bulakh, Ruslan Yakovliev   +2 more
exaly   +4 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   +2 more
exaly   +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

An Innovative Applied Control System of Helicopter Turboshaft Engines Based on Neuro-Fuzzy Networks

Applied System Innovation
This study focuses on helicopter turboshaft engine innovative fault-tolerant fuzzy automatic control system development to enhance safety and efficiency in various flight modes.
Serhii Vladov, Victoria Vysotska, Petro Pukach   +2 more
exaly   +3 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

Helicopter Turboshaft Engines’ Gas Generator Rotor R.P.M. Neuro-Fuzzy On-Board Controller Development

Energies
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 operating ...
Serhii Vladov, Lukasz Scislo, Valerii Sokurenko   +2 more
exaly   +3 more sources

The Helicopter Turboshaft Engine’s Reconfigured Dynamic Model for Functional Safety Estimation

Electronics (Switzerland)
This research substantiates the necessity for developing and implementing structural reconfiguration methods for automatic control systems in the event of a parametric sensor failure to enhance the helicopter turboshaft engine’s overall reliability and safety.
Serhii Vladov, Viacheslav Kovtun, Valerii Sokurenko   +2 more
exaly   +2 more sources

Application of the Integral Energy Criterion and Neural Network Model for Helicopter Turboshaft Engines’ Vibration Characteristics Analysis

Energies
This article presents a vibration signal analysis method to diagnose helicopter turboshaft engine defects such as bearing imbalance and wear. The scientific novelty of the article lies in the development of a comprehensive approach to diagnosing ...
Serhii Vladov, Maryna Bulakh, Denys Baranovskyi   +2 more
exaly   +3 more sources