基于BP神经网络的B737飞机电力起动系统故障诊断研究  

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

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

机构地区：[1]滨州学院飞行学院,山东滨州256603

出　　处：《西安职业技术学院学报》2018年第4期19-22,共4页Research on Vocational Education in Xi'an Vocational and Technical College

摘　　要：首先介绍了BP神经网络的基本原理,以及它的学习算法,然后在此基础上,结合了B737飞机中电力起动系统某故障案例,阐述了基于BP神经网络的B737飞机电力起动系统的故障诊断方法及具体实现.In this paper,firstly,the basic principle of BP neural network and its learning algorithm are introduced.Then,based on this,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 based on BP neural network are expounded.

关 键 词：BP神经网络 起动系统 故障诊断 

分 类 号：V228.1[航空宇航科学与技术—飞行器设计]