Different de-noised methods for derivative thermogravimetry data of biomass

LI Peisheng; SUN Jincong; LI Wei

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Different de-noised methods for derivative thermogravimetry data of biomass

更新时间：2025-09-28

- Different de-noised methods for derivative thermogravimetry data of biomass
- Thermal Power Generation Vol. 46, Issue 1, Pages: 62-67(2017)
- 作者机构：
  
  南昌大学机电工程学院
- 作者简介：
- 基金信息：
- DOI：
  CLC： TK6
- Published：2017
- 稿件说明：
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LI Peisheng, SUN Jincong, LI Wei. Different de-noised methods for derivative thermogravimetry data of biomass[J]. Thermal power generation, 2017, 46(1): 62-67.
DOI：

LI Peisheng, SUN Jincong, LI Wei. Different de-noised methods for derivative thermogravimetry data of biomass[J]. Thermal power generation, 2017, 46(1): 62-67. DOI：

摘要

分别将21点平均法、小波分析方法和小波包分析法用于玉米秸样品的微商热重(DTG)曲线的去噪中

比较去噪后DTG曲线峰特性、信噪比、信噪比增益、时移、功率谱、变异系数、李氏指数、平滑度指标等参数。结果发现:小波包分析法能较好地保持原始DTG曲线的峰特性

且平滑、去噪效果较好

优于小波分析法和21点平均法;3种方法滤除的噪声信号均具有零均值、独立分布特性

类似高斯分布;结合峰特性和平滑指标的评价体系

有利于避免去噪过程中出现DTG曲线"欠"光滑和"过"光滑的现象

消噪效果较为理想。

Abstract

The 21-point average method

wavelet transform method and wavelet-packet transform method were applied to carry out de-noise of DTG curves for a kind of corn stalks sample

thus to obtain a more ideal DTG curve.Through comparing several parameters

like the peak characteristics

signal-noise-ratio(SNR)

signal-noise-ratio gain(GSNR)

time shifting

power spectrum

variation coefficient

the Lipschitz exponent

flatness index and others

the results show that

the wavelet-packet transform method prefers to keep the peak characteristics of the original DTG curve

and the de-noised DTG curve is smooth and has better de-noise effect.The noise filtered by the above three methods all have zero mean characteristics and independent distribution

which is similar to the Gaussian distribution.Considering the evaluation system with peak characteristics and smooth index

it helps to avoid the "less" or "over" smoothing phenomenon

and a more ideal de-noise curve can be obtained.

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