Citation: OU Linjun, CAO Jian. A peak recognition algorithm designed for chromatographic peaks of transformer oil[J]. Chinese Journal of Chromatography, ;2014, 32(9): 1019-1024. doi: 10.3724/SP.J.1123.2014.05008 shu

A peak recognition algorithm designed for chromatographic peaks of transformer oil

OU Linjun ¹ ,
CAO Jian ^1,2,,

1.
1. School of Physics and Electronics, Central South University, Changsha 410083, China;

Corresponding author: CAO Jian,
Received Date: 12 May 2014
Available Online: 9 July 2014

In the field of the chromatographic peak identification of the transformer oil, the traditional first-order derivative requires slope threshold to achieve peak identification. In terms of its shortcomings of low automation and easy distortion, the first-order derivative method was improved by applying the moving average iterative method and the normalized analysis techniques to identify the peaks. Accurate identification of the chromatographic peaks was realized through using multiple iterations of the moving average of signal curves and square wave curves to determine the optimal value of the normalized peak identification parameters, combined with the absolute peak retention times and peak window. The experimental results show that this algorithm can accurately identify the peaks and is not sensitive to the noise, the chromatographic peak width or the peak shape changes. It has strong adaptability to meet the on-site requirements of online monitoring devices of dissolved gases in transformer oil.
- chromatographic peak identification,
- moving average iterative method,
- normalized peak identification parameters,
- transformer oil
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