| 引用本文: | 秦国军,仲明,张文娜,等.混合气体识别的响应等效性与瞬态信号正交分解模型.[J].国防科技大学学报,2015,37(4):172-178.[点击复制] |
| QIN Guojun,ZHONG Ming,ZHANG Wenna,et al.Gas mixture estimation model based on response equivalent and orthogonal decomposition of transient response signals[J].Journal of National University of Defense Technology,2015,37(4):172-178[点击复制] |
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| 混合气体识别的响应等效性与瞬态信号正交分解模型 |
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(1.国防科技大学 装备综合保障技术重点实验室， 湖南 长沙 410073;2.
2. 湖南涉外经济学院 机械工程学院， 湖南 长沙 410217;3.中国人民解放军69006部队， 新疆 乌鲁木齐 830001)
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| 摘要: |
| 针对目前混合气体识别大多采用传感器稳态响应信号、基于线性混合假设或大量样本学习，而瞬态响应信号特征分析主要应用非正交分解的问题，提出一种基于响应等效性与瞬态信号正交分解的混合气体识别模型。分析金属氧化物半导体传感器对混合气体的响应特性，建立基于气体响应成分等效性假设的气体非线性混合模型，在此基础上，提出并应用一种新的正交基函数——扩展类Legendre正交基，对气体传感器瞬态响应信号进行分解；通过对正交分解系数与气体浓度的回归分析，验证二者之间的指数型关联关系，并以正交分解系数为特征参数，利用气体非线性等效混合模型对混合气体分解与辨识。实验结果表明，尽管这种混合气体识别模型仅用单一气体检测的先验知识，对混合气体的识别误差仍可达到15%以内。 |
| 关键词: 响应等效性 正交分解 扩展类Legendre基；瞬态响应信号；混合气体识别 |
| DOI：10.11887/j.cn.201504028 |
| 投稿日期：2015-01-20 |
| 基金项目:国家自然科学基金资助项目（50975279，51375484）；湖南省教育厅科学研究重点资助项目（14A083） |
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| Gas mixture estimation model based on response equivalent and orthogonal decomposition of transient response signals |
| QIN Guojun1,2, ZHONG Ming3, ZHANG Wenna4, HU Niaoqing4 |
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(1. Key Laboratory of Science and Technology on Integrated Logistics Support, National University of Defense Technology, Changsha 410073, China;2. College of Mechanical Engineering, Hunan International Economy University, Changsha 410217, China;3. The PLA Unit 69006, Wulumuqi 830001, China;4.1. Key Laboratory of Science and Technology on Integrated Logistics Support, National University of Defense Technology, Changsha 410073, China)
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| Abstract: |
| Based on linear mixture assumption or training the classifiers by large amount of data, many methods used to recognize and estimate gas mixtures were adopted the non orthogonal decomposition of steady response signal. Considering orthogonal decomposition approaches were mainly applied to analyze transient response signals, a gas mixture estimation model based on response equivalent and orthogonal decomposition of transient response signals was put forward. A novel nonlinear gas-mixing model was built after the analysis of MOS(Metal Oxide Semiconductor) gas sensor response characteristics based on the component equivalent expression for different gas responses. A new orthogonal basis function, the EQL (Extended Quasi-Legendre) basis, was proposed and applied to the decomposition of a transient response signal from the gas sensor. After the exponential relationship between the coefficients and the gas concentration was verified via regression analysis, the components in the gas mixture were separated, and their concentrations were estimated simultaneously. Experimental result shows that even though only the prior knowledge of single gas responses was applied to build the model, the concentration determined from the transient response of the gas mixture can reach an error within 15%. |
| Keywords: response equivalent orthogonal decomposition extended quasi-Legendre basis transient response signal gas mixture estimation |
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