Data-driven modelling of electromagnetic interferences in motor vehicles using intelligent system approaches

This paper addresses the issue of designing and building an intelligent system for automated detection and identification of inappropriate level of electromagnetic interference in motor vehicles. A conceptual framework of data-driven modelling and systematic data analysis has been proposed and piloted. The experimental results support the idea of using the suggested intelligent system for automotive fault detection in general.