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Multi-layer Immune Model for Fault Diagnosis

机译:故障诊断的多层免疫模型

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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.
机译:受到多层防御机制的启发,并将反馈机制纳入自然免疫系统,提出了一种用于故障诊断的多层免疫模型。在多层模型中,固有免疫层直接识别不会对其他节点造成影响的已知故障。传播免疫层采用淋巴细胞网络结构构造故障传播网络进行故障定位。自适应免疫层学习未知故障模式。仿真结果表明,多层免疫诊断系统具有识别,学习和记忆的特性。

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