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 selforganizing map used for classification of detected signals. The system design is tested by authors on a programmable logic controller with additional necessary modules


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    Titel :

    Modeling of hybrid railway electric vehicle safety control system using artificial immune systems


    Beteiligte:
    Mor-Yaroslavtsev, A. (Autor:in) / Levchenkov, A. (Autor:in) / Ribickis, L. (Autor:in)


    Erscheinungsdatum :

    2010


    Format / Umfang :

    5 Seiten, 9 Bilder, 14 Quellen


    Anmerkungen:

    (nicht paginiert)



    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Datenträger


    Sprache :

    Englisch




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    Railway Electric Vehicle Diagnostics with an Algorithm for Self-nonself Discrimination in Artificial Immune Systems

    Mor-Yaroslavtsev, A. / Levchenkov, A. / Kauno Technologijos universitetas | British Library Conference Proceedings | 2011



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