| 智能飞机机载烟雾探测器检测系统研究 |
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| 引用本文： | 罗云林,李家远. 智能飞机机载烟雾探测器检测系统研究[J]. 中国民航飞行学院学报, 2012, 0(1): 43-46 |
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| 作者姓名： | 罗云林 李家远 |
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| 作者单位： | 中国民航大学航空自动化学院,天津,300300 |
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| 摘 要： | 国内对民用飞机机载烟雾探测器的故障检测仍处于较低水平，烟雾探测器的故障检测技术完全依赖于国外。本文基于神经网络算法，分析机载烟雾探测器的故障诊断方法，实现对机载烟雾探测器故障的测试与定位，测试平台经调试运行可以达到实际应用水平。
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| 关 键 词： | 机载烟雾探测器 检测系统 智能 |
Research on Intelligent Airplane Airborne Smoke Detector Testing System |
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| Luo Yunlin Li Jiayuan. Research on Intelligent Airplane Airborne Smoke Detector Testing System[J]. Journal of China Civil Aviation Flying College, 2012, 0(1): 43-46 |
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| Authors: | Luo Yunlin Li Jiayuan |
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| Affiliation: | Luo Yunlin Li Jiayuan ( Aeronautical Automation College, CivilAviation University of China Tianjin 300300 China) |
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| Abstract: | The test ability of airplane airborne smoke detector is still in the low level in China. It almost depends on overseas technology for fault diagnosis. This thesis bases on the neural network algorithm, analyses fault diagnosis method of airborne smoke detector, and realizes the airborne smoke detector troubleshooting. Through debugging and testing, this system gets positive results for practical application. |
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| Keywords: | Airborne smoke detector Testing system Intelligent |
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