摘要
导弹在贮存过程中,可用的故障数据量少,具体的故障时间难以准确确定。为此,引入BP神经网络进行导弹贮存可靠性分析,建立了导弹贮存可靠性预测模型。利用某2型导弹在贮存期间的测试故障数据,对贮存可靠度指标进行了定量计算。结果表明,该模型能迅速得出其贮存可靠性随时间的变化规律,对给定贮存条件下的贮存可靠性进行准确的预测。
The failure data of missiles is few, so it is difficult to predict the failure time of missiles. To solve this problem, a prediction model about storage reliability was brought forward based on the BP neural network. We calculated the storage reliability of two types of missiles using the failure data. This model can predict the change of storage reliability with time and the storage reliability on giving storage conditions.
出处
《舰船科学技术》
2010年第1期99-101,109,共4页
Ship Science and Technology
关键词
神经网络
贮存可靠性
预测
neural network
storage reliability
prediction
