Intelligent Braking System and Immune Algorithm for Rolling Stock

Proceedings of the 18th International Symposium „Revitalisation of Economy - New Challenge for European Railways“ (EURO - Zel 2010) 2010
Anatolijs Ļevčenkovs, Mihails Gorobecs, Peteris Balckars, Leonīds Ribickis

Immune algorithm is proposed for diagnostics controller of train's braking system. Mathematical models and algorithms are developed. Results of computer experiments show the possibility of controller to detect and warn about changes in the system and to prevent emergencies immediately The primary task of the research is to separate dangerous states of braking system of rolling stock by critical measurements of sensors from the regular states of the system, detect and warn about changes in the system and to prevent emergencies immediately. The control of railway braking system is concerned with a large quantity of parameters, such as temperature, pressure, mass, acceleration, velocity etc., to be monitored.

Keywords
railway braking system, Immune algorithm
Hyperlink
http://alephfiles.rtu.lv/kolekcija/2010_EURO-Zel_Intelligent.pdf

Ļevčenkovs, A., Gorobecs, M., Balckars, P., Ribickis, L. Intelligent Braking System and Immune Algorithm for Rolling Stock. In: Proceedings of the 18th International Symposium „Revitalisation of Economy - New Challenge for European Railways“ (EURO - Zel 2010), Slovakia, Žilina, 26-27 May, 2010. Žilina: Žilinska univerzita, 2010, pp.177-184. ISBN 9788055401973.

Publication language
English (en)