摘要
通过对民航发动机实时监控技术中,传统门限值方法和BP神经网络方法优缺点的比较,提出运用BP神经网络进行民航发动机的实时监控;然后对将BP神经网络方法运用到民航发动机实时监控中的步骤进行了一一说明;并最终简要地进行了过程模拟;最后结果显示,BP神经网络能有效地进行民航发动机的实时监控。
With the comparison of the traditional threshold method and the BP neural networks method, the BP neural networks method is demonstrated to be used in the civil aviation engine real-time monitoring technology. Then the steps of BP neural networks method are explained in detail;Finally,the process is simulated briefly;and the resuhs show that the BP neural works are effective.
出处
《装备制造技术》
2013年第2期70-72,共3页
Equipment Manufacturing Technology
关键词
民航发动机
实时监控
门限值法
BP神经网络
civil aviation engine
real-time monitoring
threshold method
BP neural networks