摘要
针对当前飞机货舱火警探测系统存在误报率较高的问题,本文对神经网络数据融合技术在货舱火警探测中的应用进行了研究。根据飞机货舱火警信号固有的特点和要求,构建了3层数据融合的结构,利用M atlab进行了仿真,证明此种方法对减少货舱火警的误报是有效的。
In this paper, neural network data fusion technology is used in fire detection of aireraft's cargo compartment, which can better solve problems such as high mis - warning rate. According to the fire signal's inherent characteristics, a three - layer data fusion structure is used. The reliability is showed by Matlab emulation results.
出处
《探测与控制学报》
CSCD
北大核心
2005年第4期47-49,56,共4页
Journal of Detection & Control
关键词
货舱
火警探测
神经网络
数据融合
cargo compartment
fire detection
neural network
data fusion