基于BP神经网络的B737飞机电力启动系统故障诊断  

Research on Fault Diagnosis of B737 Aircraft Electric Starting System Based on BP Neural Network

作　　者：石向阳[1] SHI Xiang-yang(Flying College ,Binzhou University ,Binzhou 256603, China)

机构地区：[1]滨州学院飞行学院,山东滨州256603

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)

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.

关 键 词：BP神经网络 启动系统 故障诊断 

分 类 号：V263.6[航空宇航科学与技术—航空宇航制造工程]