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题名: Gain flow signal reduction noise using EMD
作者: Wang H(王鹤); Hu JT(胡静涛)
作者部门: 信息服务与智能控制技术研究室
关键词: grain flow ; empirical mode decomposition ; minimum energy criterion ; reduction noise method
刊名: International Agricultural Engineering Journal
ISSN号: 0858-2114
出版日期: 2015
卷号: 24, 期号:2, 页码:152-158
收录类别: EI
产权排序: 1
项目资助者: National High-tech R&D Program of China (863 Program) (2013AA040403).
摘要: In order to remove noise from grain flow signal, this paper investigated a new method using empirical mode decomposition (EMD). Grain flow signal with noise is decomposed adaptively into intrinsic mode functions (IMFs) that contain specific frequency through sifting. Minimum energy criterion (MEC) is proposed to determine the partial IMFs (low-frequency components) that are used to reconstruct a new grain flow signal. The other IMFs (high-frequency components) are removed as noise. A test rig was built to investigate performance of the proposed method. The test rig was equipped with impact plate sensor and weighting sensor. Data from both impact plate sensor and weighting sensor were analyzed to verify the improvement of accuracy using the proposed method. The results indicate that the proposed method have a higher accuracy of grain flow signal measurement. Compared to other reduction noise method, the proposed method can effectively suppress noise improve noise-signal ratio (SNR). The relative error of total grain mass was less than 1.6 %, which is also better than other reduction noise method. The proposed method provides a new way for preprocessing of grain flow signal.
语种: 英语
内容类型: 期刊论文
URI标识: http://ir.sia.cn/handle/173321/17428
Appears in Collections:信息服务与智能控制技术研究室_期刊论文

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Recommended Citation:
Wang H,Hu JT. Gain flow signal reduction noise using EMD[J]. International Agricultural Engineering Journal,2015,24(2):152-158.
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文件名: Grain flow signal reduction noise using EMD.pdf
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