| 变压器油中溶解气体光声光谱检测最小二乘回归定量分析 |
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| 引用本文： | 陈伟根,周恒逸,黄会贤.变压器油中溶解气体光声光谱检测最小二乘回归定量分析[J].重庆大学学报(自然科学版),2010,33(2):22-27. |
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| 作者姓名： | 陈伟根 周恒逸 黄会贤 |
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| 作者单位： | 重庆大学输配电装备与系统安全及新技术国家重点实验室,重庆,400044;重庆市电力公司长寿供电局,重庆,401220 |
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| 基金项目： | 国家重点基础研究发展计划资助项目(973)(2009CB724506) |
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| 摘 要： | 文中针对目前通过求解多元方程反演计算气体各组分浓度时,会引入吸收系数、池常数等参数误差的缺点,分析了光声光谱检测原理,提出了一种基于最小二乘回归的光声光谱定量分析方法,并建立了定量分析模型;应用该方法反演气体浓度时,可以避免这些参数引入的误差。以变压器油中溶解气体中重要特征气体CH4和C2H2进行实验分析,验证了所建立的定量分析模型的正确性。
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| 关 键 词： | 油中溶解气体 最小二乘回归 定量分析 光声光谱检测 |
| 收稿时间： | 2009/12/20 0:00:00 |
Quantitative analysis of photoacoustic spectroscopy detection for dissolved gas in transformer oil based on least-squares regression |
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| CHEN Wei gen,ZHOU Heng yi and HUANG Hui xian.Quantitative analysis of photoacoustic spectroscopy detection for dissolved gas in transformer oil based on least-squares regression[J].Journal of Chongqing University(Natural Science Edition),2010,33(2):22-27. |
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| Authors: | CHEN Wei gen ZHOU Heng yi and HUANG Hui xian |
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| Institution: | 1.State Key Laboratory of Power Transmission Equipment &System Security and New Technology;Chongqing University;Chongqing 400044;P.R. China;2.Chongqing Electric Power Company Changshou Power Supply Bureau;Chongqing 401220;P.R. China |
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| Abstract: | Current solutions solve each component's gas concentration by multi-equation inverse calculation, which has disadvantage of introducing parameter errors like noise, constant pool, etc. Based on the photoacoustic spectroscopy detection principle, a novel method for photoacoustic spectroscopy quantitative analysis is proposed using least square regression, and a quantitative analysis model is constructed. Using this method in inverse calculation of the gas concentration can avoid introducing parameter errors.... |
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| Keywords: | dissolved gas-in-oil least-squares regression quantitative analysis photoacoustic spectroscopy detection |
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