Automated Logic-Mathematical Modeling of Railway Automation Devices Technical Condition

The article is devoted to the development of automated systems for computer modeling and diagnostics of the automation devices technical condition in the railway transport in order to improve the safety of train traffic and increase the operational reliability of devices by reducing failures. As a mechanism for derivation multilevel mathematical models of the technical condition of railway automation dynamic systems, a method of functional grammars is proposed, which has elements of artificial intelligence. To compile knowledge bases of automated systems that formalize decision-making processes in the diagnosis and monitoring of railway automation devices, a fuzzy logic apparatus is used. A mathematical model of decision-making process on a diagnostic object technical condition based on diagram of the changing diagnostic parameter function is shown. The functioning of the model on a real example is demonstrated.