摘要
针对未来多电飞机电气系统结构复杂、故障原因多的特点,基于理论上较为成熟的BP神经网络,文章对BP神经网络在多电飞机电气系统故障诊断方面的应用进行了研究,介绍了BP神经网络的模型、BP算法的基本原理以及编程实现的过程。在此基础上,采用VC++与MATLAB混合编程的方法,应用基本的BP算法进行了多电飞机电气系统故障诊断的仿真研究。
Aiming at the characteristicses of complicated construction and many fault reasons in electrical power system of future more electric aircraft, based on the theoretically mature BP neural network, This paper introduces the BP neural network used in fault diagnosis for electrical power system of more electric aircraft.The basic principle of BP algorithm and the programming procedure are presented.The method of mixed programming of VC＋＋ and MATLAB is used in simulation.
出处
《自动化技术与应用》
2007年第6期71-73,共3页
Techniques of Automation and Applications
关键词
BP神经网络
BP算法
网络训练
故障诊断
专家系统
多电飞机电气系统
BP neural network
BP algorithm
network training
fault diagnosis
expert system
electrical power system of more electric aircraft
