| 基于传感器阵列的可燃混合气体RBF网络分析 |
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| 引用本文： | 刘建国,安振涛,张倩.基于传感器阵列的可燃混合气体RBF网络分析[J].装备环境工程,2013,10(3):!13-116. |
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| 作者姓名： | 刘建国 安振涛 张倩 |
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| 作者单位： | 军械工程学院，石家庄050003;军械工程学院，石家庄050003;军械工程学院，石家庄050003 |
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| 摘 要： | 为克服传感器阵列在混合气体检测中的交叉敏感现象，采用具有最佳逼近和全局最优性能的RBF神经网络对传感器阵列的输出信号进行分析。建立了多种可燃气体分析的数学模型，并对CO，H2和CH4的混合气体样本进行了实验。结果表明，传感器阵列和RBF神经网络处理单元构成的气体分析系统可以较好地实现对可燃混合气体的分析，误差不大于2%。
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| 关 键 词： | 可燃气体 气体分析 传感器阵列 RBF神经网络 |
| 收稿时间： | 2013/1/21 0:00:00 |
| 修稿时间： | 5/1/2013 12:00:00 AM |
Analysis of Mixed Inflammable Gases Based on Sensor Array and RBF Network |
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| LIU Jian-guo,AN Zhen-tao and ZHANG Qian.Analysis of Mixed Inflammable Gases Based on Sensor Array and RBF Network[J].Equipment Environmental Engineering,2013,10(3):!13-116. |
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| Authors: | LIU Jian-guo AN Zhen-tao and ZHANG Qian |
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| Institution: | LIU Jian-guo AN Zhen-tao ZHANG Qian |
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| Abstract: | In order to overcome the cross-sensitivity phenomenon of sensor array in mixed gas detection, RBF neural network having the best approximation and performance of global optimal was used to analyze of the signal. A mathematical model for a variety of combustible gas analysis was established, and the gas mixture of CO, H2, and CH4 was analyzed. The results showed that the gas analysis system can better analyze combustible gas mixture; the error is less than2%. |
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