Fault diagnosis algorithm based on artificial immune mechanism

Authors:
Xu Xinying;Han Xiaoming;Xie Jun;Xie Keming
Affiliations:
College of Information Engineering, Taiyuan University of Technology, Taiyuan, China;College of Information Engineering, Taiyuan University of Technology, Taiyuan, China;College of Information Engineering, Taiyuan University of Technology, Taiyuan, China;College of Information Engineering, Taiyuan University of Technology, Taiyuan, China
Venue:
CCDC'09 Proceedings of the 21st annual international conference on Chinese control and decision conference
Year:
2009

Citing 4
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Abstract

In recent years, there has been a growth of investigation into the use of artificial immune system as a source of inspiration and metaphor for computational tasks. In this paper, we present a fault diagnosis algorithm based on artificial immune mechanism that can execute multi-point parallel search from local to global searching field and increase the diversity of antigen population and the ability of searching maximum. At last, we apply this algorithm to the fault diagnosis system. Simulation studies show that the proposed method is feasible and recognize the fault correctly.