Viktoriia Ivannikova

The method of design of combined electromagnetic shield, consisting from active shielding system and electromagnetic passive shield of overhead power lines magnetic field is developed. All designed parameters calculated as multi-objective nonlinear minimax optimization problem solution based on stochastic particles multi-swarm optimization algorithms. Vector nonlinear objective function calculated based on finite element calculations system COMSOL Muliphysics package. Theoretical and experimental studies results of designed combined electromagnetic shield are presented.

The reliability of aviation equipment is a critical factor that directly influences the efficiency of tasks associated with flight operations. To assess reliability, various indicators are commonly employed, including mean time between failures, mean time between repairs, steady-state availability, availability function, downtime ratio, and utilization factor. However, in modern aviation, the operation of radio equipment often neglects considerations of economic impact, socio-political factors, and a comprehensive analysis of the efficiency of all components within the civil aviation infrastructure. Reliability indicators are typically stochastic in nature, necessitating the development of statistical models, the application of advanced statistical data processing methods, and the enhancement of decision-making technologies, including those leveraging artificial intelligence. External influences, operational conditions, degradation of electrical components, and instability in both autonomous and external power supplies often result in nonstationary trends across the range of parameters being monitored. These dynamic changes highlight the need for advancements in traditional data processing methods, particularly in areas such as dataset formation, classification, evaluation, and forecasting. This article focuses on the development of statistical models for the downtime ratio and utilization factor, specifically addressing scenarios characterized by nonstationary trends in diagnostic parameters.

This paper explores methodologies, criteria, and frameworks utilized in safety evaluation within multimodal transportations. However, existing approaches to safety assessment have drawbacks when applied to complex systems, such as multimodal transportation. This includes issues, such as achieving local optimum, managing safety without direct infrastructure ownership, and unifying safety estimates across multiple modes of transport. The safety of these systems relies on both objective conditions and subjective factors aimed at preserving integrity and functionality. Therefore, there’s a need for modeling safety assessments specifically tailored to multimodal freight transportation. This research utilizes mathematical modeling methods to develop an approach for assessing safety, addressing shortcomings of previous studies. The proposed method was applied to an existing multimodal transportation system, demonstrating its potential in evaluating safety levels and optimizing transportation routes.