摘要
基于可靠性指标论证是可靠性工程上的一项重要工作,将BP神经网络应用于可靠性指标论证工作,通过对历史同类产品的可靠性数据进行学习,获取新型产品可达到的可靠性水平,保证了论证指标的合理可行。
Demonstration of the reliability parameters is an important work in reliability engineering.BP Neural-Network is employed in this work by studying the reliability information of those similar products,in order to evaluation the potential reliability level of an new product,and thus the rationality of the demonstrated parameters is assured.
作者
戴勇
DAI Yong(Nanjing Research Institute of Simulation Technology,Jiangsu,210016,China)
出处
《电子技术(上海)》
2020年第2期58-60,共3页
Electronic Technology
基金
江苏省科技企业技术创新课题项目。
关键词
智能制造
BP神经网络
可靠性
intelligent manufacturing
BP neural network
reliability