Fault Diagnosis Algorithm Based on Artificial Immune Mechanism
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.
Artificial Intelligence Artificial Immune Mechanism Fault Diagnosis
Xu Xinying Han Xiaoming Xie Jun Xie Keming
College of Information Engineering, Taiyuan University of Technology, Taiyuan, 030024, China
国际会议
2009年中国控制与决策会议(2009 Chinese Control and Decision Conference)
广西桂林
英文
5314-5317
2009-06-17（万方平台首次上网日期，不代表论文的发表时间）