Development of a Unified Control Unit for an On-Board Vehicle System with a Module for Predicting the Failure of Individual Units by Machine Learning Methods

Abstract

This work is devoted to the development of a unified software and hardware device for controlling the vehicle's on-board system and logging the state parameters of individual units. The main objective is to build a model for the timely prediction of the failure of individual vehicle units through modern machine learning methods.