Modeling of Hybrid Railway Electric Vehicle Safety Control System Using Artificial Immune Systems

E-Mobility: Technologien - Infrastruktur - Märkte [CD-ROM]: VDE-Kongress 2010: Kongressbeiträge 2010
Andrejs Mors-Jaroslavcevs, Anatolijs Ļevčenkovs, Leonīds Ribickis

Objective of this paper is to examine the principles of biological and artificial immune systems and to design a generic scheme of the safety-driven control system for electric vehicles’ drives and brakes. The authors investigate the principles of AIS, the shape-space concept to represent the input data, solutions population adaptation algorithms, and the overall possibility to use AIS for transport safety tasks in a manner quite similar to network intrusion detection systems. The system is a hybrid of AIS which performs sensor data anomaly detection and a self-organizing map used for classification of detected signals. The system design is tested by authors on a programmable logic controller with additional necessary modules.

Keywords
artificial immune systems, railway electric transport, safety, modeling
Hyperlink
http://www.vde-verlag.de/proceedings-en/453304041.html

Mors-Jaroslavcevs, A., Ļevčenkovs, A., Ribickis, L. Modeling of Hybrid Railway Electric Vehicle Safety Control System Using Artificial Immune Systems. In: E-Mobility: Technologien - Infrastruktur - Märkte [CD-ROM]: VDE-Kongress 2010: Kongressbeiträge, Germany, Leipzig, 8-9 November, 2010. Berlin: VDE-Verlag, 2010, pp.1-5. ISBN 9783800733040.

Publication language
English (en)