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中南大学学报(自然科学版)

Journal of Central South University

第43卷    第2期    总第210期    2012年2月

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文章编号:1672-7207(2012)02-0516-06
基于小波EMD的柴油机油耗量测量信号去噪处理
刘玉梅,袁文华,彭雨

(邵阳学院 机械与能源工程系,湖南 邵阳,422004)

摘 要: 提出基于小波经验模态分解的柴油机油耗量信号去噪处理算法。将柴油机油耗量测量信号进行经验模态分解(EMD)后,经阈值处理和尺度滤波,去掉主要干扰因素所对应的本征模函数(IMF)分量,然后对剩余IMF分量进行重构,得到去噪后柴油机油耗量测量信号的时间序列。测试结果表明:重构后的信号能反映柴油机油耗量信号的真实趋势,其相对误差约为0.72%。

 

关键字: 经验模态分解;小波;去噪处理;柴油机;油耗量

Denoising disposal of measurement signals of fuel consumption from
diesel engine based on wavelet EMD method
LIU Yu-mei, YUAN Wen-hua, PENG Yu

Department of Mechanical and Energy Engineering; Shaoyang College, Shaoyang 422004, China

Abstract:A new method for denoising disposal of measurement signals of fuel consumption from diesel engine was proposed by using wavelet and empirical mode decomposition (EMD) fusion. The measurement signals were disposed by EMD, restricting soft threshold and scale filtering, and the IMF components responds to main interference factors were eliminated, the time sequence of measurement signals of fuel consumption from diesel engine was obtained by reconstructing the remaining IMF components. The results show that the reconstructed signals can reflect the true trend of measurement signals of fuel consumption and the relative error is about 0.72%.

 

Key words: empirical mode decomposition; wavelet; denoising disposal; diesel engine; fuel consumption

中南大学学报(自然科学版)
  ISSN 1672-7207
CN 43-1426/N
ZDXZAC
中南大学学报(英文版)
  ISSN 2095-2899
CN 43-1516/TB
JCSTFT
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