Title :
The Diagnostic Dendritic Cell Algorithm for robotic systems
Author :
Bi, Ran ; Timmis, Jon ; Tyrrell, Andy
Author_Institution :
Dept. of Electron., Univ. of York, York, UK
Abstract :
This paper presents a lightweight, immune-inspired system for the diagnosis of faults. We adapt the dendritic cell algorithm, to develop the Diagnostic Dendritic Cell Algorithm (D-DCA) to afford on-line diagnosis of stuck-at-fault conditions. Our work shows that the D-DCA is capable of successfully diagnosing simple faults within an acceptable time frame, with an acceptable accuracy.
Keywords :
artificial immune systems; fault diagnosis; robots; diagnostic dendritic cell algorithm; fault diagnosis; lightweight immune-inspired system; online diagnosis; robotic systems; stuck-at-fault conditions; Algorithm design and analysis; Fault diagnosis; Mobile robots; Real time systems; Robot sensing systems;
Conference_Titel :
Evolutionary Computation (CEC), 2010 IEEE Congress on
Conference_Location :
Barcelona
Print_ISBN :
978-1-4244-6909-3
DOI :
10.1109/CEC.2010.5586499
