摘要
介绍了BP神经网络的基本原理及其学习算法。在此基础上,结合B737飞机中电力启动系统某故障案例,阐述了基于BP神经网络的B737飞机电力启动系统的故障诊断方法及具体实现。
In this paper,the basic principle of BP neural network and its learning algorithm are introduced.Combined with a fault case of electric starting system in B737 aircraft,the fault diagnosis method and concrete realization of B737 aircraft electric starting system are expounded based on BP neural network.
作者
石向阳
SHI Xiang-yang(Flying College ,Binzhou University ,Binzhou 256603, China)
出处
《滨州学院学报》
2018年第6期5-8,共4页
Journal of Binzhou University
基金
滨州学院科研基金项目(BZXYG1705)
关键词
BP神经网络
启动系统
故障诊断
BP neural network
starting system
fault diagnosis
