WAVELET TRANSFORM AND ITS APPLICATION IN THERMOGRAVIMETRY DATA PROCESSING

HU Song; SUN Xuexin; XIONG Youhui; SUN Lushi; LI Min; LI Peisheng; LI Ling

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WAVELET TRANSFORM AND ITS APPLICATION IN THERMOGRAVIMETRY DATA PROCESSING

更新时间：2025-12-10

- WAVELET TRANSFORM AND ITS APPLICATION IN THERMOGRAVIMETRY DATA PROCESSING
- CIESC Journal Issue 12, (2002)
- 作者机构：
  
  华中科技大学煤燃烧国家重点实验室
- 作者简介：
- 基金信息：
- DOI：
  CLC：
- Online First：25 December 2002，
  
  Published：25 December 2002
- 稿件说明：
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HU Song, SUN Xuexin, XIONG Youhui, et al. WAVELET TRANSFORM AND ITS APPLICATION IN THERMOGRAVIMETRY DATA PROCESSING[J]. CIESC Journal, 2002, (12).
DOI：

HU Song, SUN Xuexin, XIONG Youhui, et al. WAVELET TRANSFORM AND ITS APPLICATION IN THERMOGRAVIMETRY DATA PROCESSING[J]. CIESC Journal, 2002, (12). DOI：

摘要

利用小波分解、滤波、重构对热重信号进行去噪处理

消除实验中由于各种因素产生的噪声

得到了较为满意的热重实验数据.该方法与其他处理方法相比

得到的处理信号不失真且去噪效果明显.比较发现小波去噪的结果与阈值选取相关

通过分析确定合适的阈值选取规则

使得处理后的信号能满足以后分析的需要.研究表明选择的阈值可广泛应用于不同煤种的热重实验数据处理.

Abstract

By using wavelet decomposition

filtering and reconstructing

noise signal could be deleted from thermogravimetry signal. It can help researchers to gain true parameters about kinetic characteristics. Different process methods were compared; several rules of threshold selection for wavelet noise removal were studied. Some parameters of processed signal curve were calculated by different threshold selection rules. By utilizing this information

the characteristics of this processed signal by different threshold selection rules were confirmed. Power-spectrum analysis was used to change the time- varying information into frequency distribution information. Quantitative comparison of signals could be made. Wavelet transform is an effective and accurate method

which can be used in thermogravimetry signal processing.

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