Results 1 to 10 of about 1,116 (136)

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

open access: yesSensors
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   +6 more
doaj   +4 more sources

Helicopters Turboshaft Engines Neural Network Modeling under Sensor Failure

open access: yesJournal 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   +4 more
doaj   +4 more sources

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

open access: yesPLoS 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   +3 more
doaj   +2 more sources

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

open access: yesSensors (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   +6 more
europepmc   +4 more sources

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

open access: yesSensors (Basel)
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 in steady-state modes, while only around 15% operate in unsteady and transient modes.
Vladov S   +8 more
europepmc   +4 more sources

Onboard Neuro-Fuzzy Adaptive Helicopter Turboshaft Engine Automatic Control System

open access: yesEnergies
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.
Serhii Vladov   +3 more
doaj   +2 more sources

Numerical Investigation on Separation Efficiency of a Novel Hybrid Engine Air-Particle Separator [PDF]

open access: yesJournal of Applied Fluid Mechanics, 2023
This paper proposes a novel design for a hybrid engine air-particle separator filter (HEAPS) that combines the vortex tube separator (VTS) with the inertial particle separator (IPS) to enhance separation efficiency.
S. Ghodbane   +3 more
doaj   +1 more source

The market and the future of the turbine powered heavy helicopters

open access: yesАвіаційно-космічна техніка та технологія, 2023
The subject of this study is the current state of the market and prospects for the development of heavy transport helicopters and their power plants.
Vadym Nerubaskyi
doaj   +1 more source

Development of the helicopter turboshafted engine regulator

open access: yesAerospace Technic and Technology, 2023
The subject of research was the development of the RDC-450M-117V – the TV3-117VMA-SBM1V digital engine regulator – based on the RDC-450M previously created at the enterprise for the AI-450M engine, considering differences in engine characteristics and exploitation conditions.
Gennadii Ranchenko   +4 more
openaire   +2 more sources

Energy and Exergy Analysis on a Waste Heat Recovery Module for Helicopters

open access: yesIEEE Access, 2021
The exhaust of turboshaft engines contains a big amount of waste heat but does not provide propulsion power to the helicopter. Reusing the heat can increase fuel efficiency and reduce carbon emissions of the engine.
Yuxue Ge, Yuhao Wei, Qian Zhao, Yang Pei
doaj   +1 more source

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