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


    Access

    Access via TIB

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

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


    Contributors:


    Publication date :

    2010


    Size :

    5 Seiten, 9 Bilder, 14 Quellen


    Remarks:

    (nicht paginiert)



    Type of media :

    Conference paper


    Type of material :

    Storage medium


    Language :

    English




    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


    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



    Ai Railway electricity safety management system using artificial intelligence

    OH HO JIN | European Patent Office | 2024

    Free access

    Electric brake control system and railway vehicle

    DING YING / WANG MENG / WANG HONGKUN et al. | European Patent Office | 2022

    Free access