This article discusses the development of an enhanced monitoring and control system for
helicopter turboshaft engines during flight operations, leveraging advanced neural network …

This article advances the research on the intelligent monitoring and control of helicopter
turboshaft engines in onboard conditions. The proposed neural network system for anomaly …

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 …

This research substantiates the necessity for developing and implementing structural
reconfiguration methods for automatic control systems in the event of a parametric sensor …

This article presents an intelligent self-validated sensor system developed for dynamic
objects and based on the intelligent sensor concept, which ensures autonomous data …

The article proposes an innovative method for helicopter turboshaft engines' combustion
chamber monitoring based on a neural network, significantly impacting the aircraft engines' …

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 …

The work is devoted to the development of a training algorithm for forward propagation
neural networks, based on the backpropagation algorithm, through the use of adaptive …

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 …