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根据抗体群与抗原群的匹配关系,提出一种改进的基于免疫网络模型(aiNet)的故障诊断算法.建立了自适应调整剪枝和抑制阈值的规则,并对K近邻算法的附加距离阈值加以限制,提高了基于aiNet故障诊断算法对已知故障的识别率,克服了其不能识别新故障的缺点.仿真结果表明,改进算法具有优良的故障诊断性能.
According to the matching relationship between antibody population and antigen population, an improved fault diagnosis algorithm based on immune network model (aiNet) is proposed. The rules of adaptive pruning and suppression threshold are established and the additional distance threshold of K nearest neighbor algorithm is added Which improves the recognition rate of known faults based on the aiNet fault diagnosis algorithm and overcomes the shortcomings that it can not identify new faults.The simulation results show that the improved algorithm has excellent fault diagnosis performance.