【摘要】 近年来,神经网络在故障诊断领域中应用广泛,但任何单一的故障诊断方法都有其优点和缺点,因此将免疫系统应用于神经网络隐层数据中心的选择,训练得出聚类中心,然后选择一种合适的确定隐含层到输出层的权值,计算得出神经网络的输出,并根据输出结果诊断出故障的类型.经实践证明,具有很好的诊断效果.更多还原

【Abstract】 Recently,neural network has been widely used in Fault Diagnosis field.Since each single fault diagnosis method has its advantages and disadvantages,so after the immune system is applied to choosing hidden layer neural network data and getting a cluster center,then a suitable layer weight is selected,and neural network output is calculated,the output result shows that the diagnosis is effective.更多还原