Grain flow signal reduction noise using EMD
文献类型：期刊论文
| 作者 | Wang H(王鹤) ; Hu JT(胡静涛)
|
| 刊名 | International Agricultural Engineering Journal
 |
| 出版日期 | 2015 |
| 卷号 | 24期号:2页码:152-158 |
| 关键词 | grain flow empirical mode decomposition minimum energy criterion reduction noise method |
| ISSN号 | 0858-2114 |
| 产权排序 | 1 |
| 中文摘要 | 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. |
| 收录类别 | EI |
| 语种 | 英语 |
| 源URL | [http://ir.sia.cn/handle/173321/17428]  |
| 专题 | 沈阳自动化研究所_信息服务与智能控制技术研究室 |
| 推荐引用方式 GB/T 7714 | Wang H,Hu JT. Grain flow signal reduction noise using EMD[J]. International Agricultural Engineering Journal,2015,24(2):152-158. |
| APA | Wang H,&Hu JT.(2015).Grain flow signal reduction noise using EMD.International Agricultural Engineering Journal,24(2),152-158. |
| MLA | Wang H,et al."Grain flow signal reduction noise using EMD".International Agricultural Engineering Journal 24.2(2015):152-158. |
入库方式： OAI收割
来源：沈阳自动化研究所
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