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Neuro-Fuzzy Methods for Detecting Sensor Failures in Helicopters Turboshaft Engines [PDF]

Proceedings of the 8th International Conference on Computational Linguistics and Intelligent Systems. Volume I: Machine Learning Workshop
Victoria Vysotska, Serhii Vladov, Ruslan Yakovliev, Alexey Yurko, Andrii Voronin   +4 more
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Helicopters Turboshaft Engines Parameters Identification Using Neural Network Technologies Based on the Kalman Filter

Communications in Computer and Information Science, 2023
Serhii Vladov, Yurii Shmelov, Ruslan Yakovliev   +2 more
exaly  

Rotational Speed Optimization of Coaxial Compound Helicopter and Turboshaft Engine System

Journal of Aerospace Engineering, 2023
Yong Wang, Jie Song, Wencheng Zhong, Haibo Zhang   +3 more
openaire   +1 more source

Modified Neural Network Method for Classifying the Helicopters Turboshaft Engines Ratings at Flight Modes

2022
Serhii Vladov
exaly  

On-Board Method for Helicopters Turboshaft Engines Neuro-Fuzzy Fuel Consumption Control

2023
Serhii Vladov, Ruslan Yakovliev
exaly  

Exergetic, sustainability and environmental assessments of a turboshaft engine used on helicopter

Energy, 2023
openaire   +1 more source

Neural Network Method for Helicopters Turboshaft Engines Working Process Parameters Identification at Flight Modes

2022
Serhii Vladov, Ruslan Yakovliev
exaly  

A Turboshaft Aeroengine Fault Detection Method Based on One-Class Support Vector Machine and Transfer Learning

Journal of Aerospace Engineering, 2022
Ye Zhu, Chenglie Du, Zhiqiang Liu
exaly  

Performance Analysis of Helicopter Turboshaft Engines: The Case of Agusta A119 PT6B-37

ASREL
Bu çalışma, Agusta A119 helikopterinde kullanılan PT6B-37A turboşaft motorunun farklı irtifa koşullarındaki enerji ve ekserji temelli performans analizini kapsamlı bir şekilde sunmaktadır. İnceleme, Uluslararası Standart Atmosfer (ISA) koşulları altında, 0 m, 300 m, 600 m ve 900 m irtifalarda motor davranışının değerlendirilmesine odaklanmaktadır ...
openaire   +1 more source

Modified Method of Identification Potential Defects in Helicopters Turboshaft Engines Units Based on Prediction its Operational Status

2022
Serhii Vladov, Ruslan Yakovliev
exaly