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
Modeling of hybrid railway electric vehicle safety control system using artificial immune systems
2010
5 Seiten, 9 Bilder, 14 Quellen
(nicht paginiert)
Conference paper
Storage medium
English
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