Mathematical model and algorithms for research and diagnostics of the track control sensor to create an expert system

Abstract

The article discusses the development of artificial intelligence in railway transport and its areas of application. One of the elements of automation and telemechanic, jointless rail circuits with current pickup, was investigated and, based on the knowledge base function, was used to create expert systems. A mathematical model has been developed to determine one of the operating modes of a jointless rail circuit with current pickup. A simulation model has been developed, a methodology for applying artificial intelligence has been investigated in relation to the storage of knowledge, semantics, frames and formal logic. Algorithms and programs have been developed for the creation of expert systems for these models, as well as their advantages and disadvantages.