关键词: 人工免疫系统, 故障诊断, 故障传播模型, 固有诊断, 适应性诊断

Abstract: This paper proposes a multi-layered immune diagnosis model for network fault diagnosis that is inspired by the multi-layered defense mechanism and incorporates the co-stimulation in the nature immune system.The model is comprised of inherent diagnosis layer，fault propagates recognition layer and adaptive diagnosis layer.Inherent diagnosis layer inherits available knowledge that a fault could not cause influence to other nodes.Fault propagates recognition layer adopt the structure of the B-lymphocyte network based on the fault propagation network for the fault localization.Adaptive diagnosis layer learn the unknown pattern.The method can detect not only known fault，but also unknown fault.The system could find the best combination of test points in network by using the fault propagates model and the results of fault localization algorithm to diagnose all the faults.

Key words: artificial immune system, fault diagnosis, fault propagates model, inherent diagnosis, adaptive diagnosis