摘要
基于人工神经网络的故障诊断方法,建立了火炮反后坐BP网络模型,采用遗传算法对其优化,并利用多种故障状态参数样本数据对BP网络训练,验证遗传算法优化的BP网络在反后坐故障诊断的可行性。
based fault diagnosis method of artificial neural network. BP network model of Recoil is established. The genetic algorithm is used to optimize BP network. The BP network is trained by use of various fault parameters. The feasibility of the optimized BP neu- ral network in fault diagnosis of Recoil is verified.
出处
《机械制造与自动化》
2013年第5期133-135,共3页
Machine Building & Automation