| Adaptive sparsest narrow-band decomposition method optimized by ACROA | |
| Peng, Yan-Feng; Cheng, Jun-Sheng; Yang, Yu | |
| 刊名 | Journal of Vibration Engineering
 |
| 2016 | |
| 卷号 | Vol.29 No.6页码:1127-1133 |
| 关键词 | fault diagnosis gear adaptive sparsest narrow-band decomposition artificial chemical reaction optimization algorithm local narrow-band signal |
| ISSN号 | 1004-4523 |
| URL标识 | 查看原文 |
| 公开日期 | [db:dc_date_available] |
| 内容类型 | 期刊论文 |
| URI标识 | http://www.corc.org.cn/handle/1471x/6075303 |
| 专题 | 湖南大学 |
| 作者单位 | 1.State Key Laboratory of Advanced Design and Manufacture for Vehicle Body, Hunan University, Changsha 2.410082, China |
| 推荐引用方式 GB/T 7714 | Peng, Yan-Feng,Cheng, Jun-Sheng,Yang, Yu. Adaptive sparsest narrow-band decomposition method optimized by ACROA[J]. Journal of Vibration Engineering,2016,Vol.29 No.6:1127-1133. |
| APA | Peng, Yan-Feng,Cheng, Jun-Sheng,&Yang, Yu.(2016).Adaptive sparsest narrow-band decomposition method optimized by ACROA.Journal of Vibration Engineering,Vol.29 No.6,1127-1133. |
| MLA | Peng, Yan-Feng,et al."Adaptive sparsest narrow-band decomposition method optimized by ACROA".Journal of Vibration Engineering Vol.29 No.6(2016):1127-1133. |
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