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

Author

Petrovski, Sergei ; Bouchet, F. ; Petrovski, Andrei

Author_Institution

Sch. of Electr. Substations, Samara State Tech. Univ., Samara, Russia

fYear

2013

fDate

19-21 June 2013

Firstpage

1

Lastpage

7

Abstract

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.

Keywords

automobiles; data analysis; electromagnetic interference; fault diagnosis; support vector machines; automated identification; automotive fault detection; data-driven modelling; electromagnetic interference; intelligent system; motor vehicle; systematic data analysis; Antennas; Electromagnetic interference; Ignition; Noise; Plugs; Sparks; Vehicles; data-driven modelling; intelligent fault detection; smart identification of electromagnetic interference;

fLanguage

English

Publisher

ieee

Conference_Titel

Innovations in Intelligent Systems and Applications (INISTA), 2013 IEEE International Symposium on

Conference_Location

Albena

Print_ISBN

978-1-4799-0659-8

Type

conf

DOI

10.1109/INISTA.2013.6577658

Filename

6577658