Predicting the state of planar tire contact joints using machine learning models

The article considers the problem of predicting the technical condition of planar contact connections of tires in electrical installations. Modeling methods, including polynomial regression and autoregression, have been studied to assess and predict the state of contacts. The analysis of the results of the models was carried out and their effectiveness was evaluated on various data sets. A program for predicting the condition of contacts has been developed and integrated into the software for monitoring tire contacts. The results of the work show the prospects of creating monitoring systems using forecasting models to ensure the reliability and efficiency of electrical equipment.