Multi-layer Immune Model for Fault Diagnosis

摘要：

Inspired by the multi-layer defense mechanism and incorporates the feedback mechanism in the nature immune system, the paper proposes a multi-layer immune model for fault diagnosis. In the multi-layer model, inherent immune layer direct recognition of known fault that could not cause influence to other nodes; propagation immune layer adopt the structure of the Blymphocyte network to construct the fault propagation network for the fault localization; Adaptive immune layer learn the unknown fault pattern. Simulation results show that the multilayer immune diagnosis system has the properties of recognition, learning and memory.

关键词： Artificial immune system fault diagnosis Inherent immune adaptive immune

作者: Tian YuLing

作者单位: Computer and Software College TaiYuan University of Technology TaiYuan, Shanxi, China

会议类型: 国际会议

会议名称: The 2nd International Conference on Bioinformatics and Biomedical Engineering(iCBBE 2008)(第二届生物信息与生物医学工程国际会议)

会议地点: 上海

会议语种:英文

页码: 1939-1942

在线出版日期: 2008-05-16（万方平台首次上网日期，不代表论文的发表时间）