基于BP神经网络算法的飞机发动机火警信号系统研究

Research on an Aero-Engine Fire Detected System Based on BP Neural Network

摘要:

针对某型飞机发动机火警探测系统存在误报率较高的问题,设计了基于BP神经网络算法的飞机发动机火警信号系统,采用了速率检测算法结合绝对温度的局部决策机制,构建了3层数据融合结构,进行了仿真验证,证明此种方法对解决发动机报警灵敏度和误报率之间的矛盾,具有较高的价值。

Abstract:

An aero-engine fire detected method based on BP neural network data fusion technology was designed in order to solve its fault fire alarm. In the method, the probed absolute temperature and it’s velocity was combined for local decision-making,and a 3 layers data fusion was constructed．The method was emulated in this paper.