Forecasting the Resources of Rolling Stock Elements Using Information Technology

In this article, the capabilities of information technology for forecasting vehicle resources directly affect the safety, efficiency and economic reliability of railway communications. The proposed method is based on the analysis of historical data of wheel sets, which were obtained from various sources. This method includes the following stages of information and software processing, which include loading data into databases, checking and primary data processing, machine learning using artificial intelligence to transfer historical data, and a linear regression algorithm.