The article's main provisions are the development and application of a neural network
method for helicopter turboshaft engine thermogas-dynamic parameter integrating signals …

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 …

The urban transport network involves complex processes, operating 24 ha day and 365
days a year. The sustainable development of the urban transport network using electric …

Electric vehicles are the most innovative and promising area of the automotive industry. The
efficiency of a traction battery is an important factor in the performance of an electric vehicle …

Electric vehicles are one of the most innovative and promising areas of the automotive
industry. The efficiency of traction equipment is an important factor in the operation of an …

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 …

Increasing the efficiency and reliability of modern railway transport is accompanied by an
increase in monitoring and diagnostic systems for the current state of electric drives. Modern …

The aim of this paper is to present theoretical starting points in the field of risk analysis. This
paper is formulated as a systematic overview of the latest knowledge and trends, which are …

The paper presented studies on reducing traction energy consumption with a decrease in
the weight of an all-metal gondola car. Based on the proposed mathematical criterion, a new …

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