基于小波EMD的柴油机油耗量测量信号去噪处理OA北大核心CSCDCSTPCD
Denoising disposal of measurement signals of fuel consumption from diesel engine based on wavelet EMD method
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％.
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 …查看全部>>
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邵阳学院机械与能源工程系,湖南邵阳,422004邵阳学院机械与能源工程系,湖南邵阳,422004
能源科技
经验模态分解小波去噪处理柴油机油耗量
empirical mode decomposition wavelet denoising disposal diesel engine fuel consumption
《中南大学学报（自然科学版）》 2012 (2)
516-521,6
湖南省自然科学基金资助项目(10JJ3061)
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