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Study on Thermogravimetry Data of Cooking Oil Tar Based on Adaptive Wavelet Analysis

机译：基于自适应小波分析的烹饪油焦热重量数据研究

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Test of the combustion characteristics of cooking oil tar in pipe was conducted. Wavelet transform was introduced to the thermogravimetric data smoothing and differentiation analysis according to the experiment results, and the orthogonal test method was used to find the optimize wavelet parameter. Wavelet transform results were compared to the traditional 'Moving average' , 'Gaussian Smoothing' and 'Vondrak smoothing' methods and it was proved that the signal-to-noise ratio ( R_(SNR) ) of the measurement is increased significantly. The kinetic parameters calculated from the original TG curves and smoothed DTG curves have excellent agreement , and thus the wavelet transform smoothing algorithms can be used directly and accurately in kinetic analysis.
机译：进行料中烹饪油焦油燃烧特性的试验。根据实验结果，将小波变换引入了热重分析数据平滑和分化分析，并且使用正交测试方法来找到优化小波参数。将小波变换结果与传统的“移动平均”，“高斯平滑”和“Vondrak平滑”方法进行了比较，证明了测量的信噪比（R_（SNR））显着增加。从原始TG曲线和平滑的DTG曲线计算的动力学参数具有很好的一致性，因此小波变换平滑算法可以直接和准确地在动力学分析中使用。

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