人工免疫进化计算在故障检测中的应用

Application of Artificial Immune Evolutionary Computation in Fault Detection

将人工免疫系统的克隆选择原理结合思维进化思想,提出了一种人工免疫进化计算模型。该模型中利用克隆选择原理对故障模式进行模式学习和识别,利用思维进化思想定义了免疫趋同算子和免疫异化算子来对抗体进行扩增和抑制。将其应用在模拟机组的状态识别,试验结果表明,所提出的模型对状态检测有较高的准确率。

In the mixture of the idea of Mind Evolutionary Gnputation （MEC） and the clonal selection principle of artificial immune system, a model of artificial immune evolutionary computing is proposed. The models can learn and recognue fault mode in clone selection theory , and the immune similarity operator to expend antibody and the immune dissimilation operator to restrain antibody are defined using the thought of mine evolutionary computing. The algorithm are used in state recognue of simulation machine unit. The experiment result shows that the algorithm has a better accuracy to state recognize.