| 基于神经网络数据融合技术的飞机货舱火警探测方法研究 |
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| 引用本文： | 向淑兰,付尧明. 基于神经网络数据融合技术的飞机货舱火警探测方法研究[J]. 探测与控制学报, 2005, 27(4): 47-49,56 |
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| 作者姓名： | 向淑兰 付尧明 |
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| 作者单位： | 中国民航飞行学院,四川,广汉,618307 |
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| 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Matlab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.
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| 关 键 词： | 货舱 火警探测 神经网络 数据融合 |
| 文章编号： | 1008-1194（2005）04-0047-03 |
| 收稿时间： | 2005-05-27 |
| 修稿时间： | 2005-05-27 |
A Fire Detect Method for Aircraft''''s Cargo Compartment Based on Neural Network Data Fusion Technology |
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| XIANG Shu-lan,FU Yao-ming. A Fire Detect Method for Aircraft''''s Cargo Compartment Based on Neural Network Data Fusion Technology[J]. Journal of Detection & Control, 2005, 27(4): 47-49,56 |
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| Authors: | XIANG Shu-lan FU Yao-ming |
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| Affiliation: | Civil Aviation Flight University of China, Guanghan 618307, China |
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| Abstract: | In this paper,neural network data fusion technology is used in fire detection of aircraft'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. |
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| Keywords: | cargo compartment fire detection neural network data fusion |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
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