消除油垢热分析实验噪音方法和热动力学研究  

Denoising for thermogravimetry signal of cooking oil and thermokinetic analysis

作　　者：谢正文[1,2] 袁巧[2] 曲方[2] 

机构地区：[1]中南大学资源与安全工程学院,湖南长沙410083 [2]中国计量学院安全与环保研究所,浙江杭州310018

出　　处：《化学工程》2010年第6期95-98,共4页Chemical Engineering(China)

基　　金：浙江省科技计划项目(2007C203063);浙江省"新苗人才计划"项目(2008R40G2080006)

摘　　要：利用自行设计的较大物量的热质量损失(TG)分析装置,获得餐饮业油烟道油垢燃烧特性曲线。根据实验结果,将小波去噪方法引入到TG数据的平滑处理,通过正交化实验得到了最佳的小波参数,通过与常规的移动平均法、高斯平滑法、Vondrak平滑法比较,发现自适应小波变换在TG数据平滑处理提高了信噪比,均方根误差减小。最后通过比较微分法和积分法计算得到的动力学参数,发现原始TG数据计算的动力学参数和小波变换处理得到的微分热质量损失(DTG)数据计算得到的参数符合得很好,表明文中方法是有效的,可以直接地应用于热动力学分析中。The curves of combustion characteristics of cooking oil tar in pipe were obtained by using a self-designed thermogravimetric（TG） device with a large capacity.The wavelet transform was introduced into the thermogravimetric data smoothing and differentiation analysis according to the experimental results,and the orthogonal test method was used to find the optimized wavelet parameters.The wavelet transform results were compared with the traditional ＂Moving Average＂,＂Gaussian Smoothing＂ and ＂Vondrak Smoothing＂ methods and it shows that the signal-to-noise ratio of the measurement is increased and root-mean-square（RMS） error is decreased.The kinetic parameters calculated from the original TG curves and smooth differential thermogravimetric（DTG） curves are in good agreement,thus the wavelet transform smoothing algorithms can be used directly and accurately in the thermokinetic analysis.

关 键 词：小波变换 热质量损失(TG) 油垢 平滑 热动力学 

分 类 号：TK12[动力工程及工程热物理—工程热物理]