The research aims to develop a neural network-based lost information restoration method
when the complex nonlinear technical object (using the example of helicopter turboshaft …

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 …

This article proposes a mathematical model for protecting helicopter turboshaft engines from
surges, starting with fuel metering supply and maintaining stable compressor operation. The …

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 …

This study focuses on helicopter turboshaft engine innovative fault-tolerant fuzzy automatic
control system development to enhance safety and efficiency in various flight modes. Unlike …

The work is devoted to further research in the field of creation and modernization of an
onboard monitoring system for helicopters turboshaft engines. In this work, neural network …

This work is devoted to the development of a neural network method for detecting failures of
sensors of helicopters turboshaft engines under on-board operation conditions. The …

The work is dedicated to the development of a neuro-fuzzy system for detection and control
the fuel consumption of helicopters turboshaft engines at flight modes. The realization of the …

The work is devoted to the development of a reconfigured modified closed onboard
helicopters turboshaft engines automatic control system, which is based on the use of a …

In this article, to study the influence of neural networks' morphology symmetry, a
mathematical model is developed that considers dynamic symmetry for diagnosing complex …