| Quantitative analysis of photoacoustic spectroscopy detection for dissolvedgas in transformer oil based on least squares regression |
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| 作者姓名： | CHEN Wei gen ZHOU Heng yi and HUANG Hui xian |
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| 作者单位： | State Key Laboratory of Power Transmission Equipment &System Security and New Technology, Chongqing University, Chongqing 400044, P.R. China;;State Key Laboratory of Power Transmission Equipment &System Security and New Technology, Chongqing University, Chongqing 400044, P.R. China;;Chongqing Electric Power Company Changshou Power Supply Bureau ,Chongqing 401220, P.R. China |
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| 摘 要： | 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. The analysis model is verified by the experiment on the acetylene and methane dissolved in the transformer oil.
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| 关 键 词： | dissolved gas in oil least squares regression quantitative analysis photoacoustic spectroscopy detection |
| 收稿时间： | 2009/12/20 0:00:00 |
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