3 Results Found

Advanced Search

Select all

Results per page

Select all

Article

1 Citations

1,398 Views

28 Pages

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

Serhii Vladov,
Viacheslav Kovtun,
Valerii Sokurenko,
Oleksandr Muzychuk and
Victoria Vysotska

Electronics2024, 13(17), 3477;https://doi.org/10.3390/electronics13173477

-

1 September 2024

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 reliabi...

Full Article

Article

59 Citations

2,083 Views

36 Pages

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

Serhii Vladov,
Lukasz Scislo,
Valerii Sokurenko,
Oleksandr Muzychuk,
Victoria Vysotska,
Serhii Osadchy and
Anatoliy Sachenko

Sensors2024, 24(13), 4246;https://doi.org/10.3390/s24134246

-

29 June 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, ensu...

Full Article

Article

12 Citations

7,904 Views

17 Pages

Estimation of Performance Parameters of Turbine Engine Components Using Experimental Data in Parametric Uncertainty Conditions

Olexandr Khustochka,
Sergiy Yepifanov,
Roman Zelenskyi and
Radoslaw Przysowa

Aerospace2020, 7(1), 6;https://doi.org/10.3390/aerospace7010006

-

16 January 2020

Zero-dimensional models based on the description of the thermo-gas-dynamic process are widely used in the design of engines and their control and diagnostic systems. The models are subjected to an identification procedure to bring their outputs as cl...

Full Article