摘要
为改善风洞试验条件和提高试验效率,针对1.2 m跨超声速风洞进行了运行监测系统研究。针对风洞环境复杂、监测对象分散的特点,引入无线传感器网络构建了基于多传感器的分布式风洞运行监测平台。重点研究了基于BP神经网络的无线传感器网络数据融合和基于D-S证据理论的多传感器信息融合在风洞运行监测中应用。在实际应用中取得了良好的效果。
In order to improve wind tunnel test conditions and increase test efficiency, the research on the 1.2m transsupersonic wind tunnel operation monitoring is carried out. The wireless sensor network（WSN） is intro duced to construct the multisensor distributed wind tunnel monitoring platform in accordance with the complex operation environment and decentralized monitoring objects. The WSN data fusion based on back propagation （BP） algorithm neural network and multisensor data fusion based on DS evidence theory are adopted in the wind tunnel monitoring application. This work has broughtsatisfactory effects in practice.
出处
《测控技术》
CSCD
北大核心
2012年第12期26-29,32,共5页
Measurement & Control Technology
关键词
风洞
多传感器
运行监测
数据融合
神经网络
wind tunnel
multi-sensor
operation monitoring
data fusion
neural network
