The Purpose of the Research Agenda for Rail Wagon Predictive Maintenance

Abstract

Monitoring the technical condition of rail wagons remains a significant challenge, especially concerning freight wagons. The article outlines the purpose of research agenda “Innovative Predictive Operation System for Wagon-Environment Interaction”. The research aimed to develop a dedicated solution for predicting failures and monitoring component wear in railway rolling stock. The system relies on a sensor infrastructure and predictive algorithms. This enables the detection of abnormal operating conditions before failures occur by analyzing patterns of abnormal behavior. The result of the research is creation of the effective monitoring and predictive system, which enables early detection of failures and optimization of maintenance and operation of the railway rolling stock.