| Analysis of modal transition and coincidence degree variation instabilities of wind turbine planetary gear system | |
Wang, ChunGuang
| |
| 2019-04-01 | |
| 发表期刊 | INTERNATIONAL JOURNAL OF PATTERN RECOGNITION AND ARTIFICIAL INTELLIGENCE
 |
| ISSN | 0218-0014 |
| EISSN | 1793-6381 |
| 卷号 | 33期号:4 |
| 摘要 | To accurately analyze the dynamic characteristics of the wind turbine planetary gear system, a dynamic model is established. The sensitivity of natural frequency to meshing stiffness is calculated by modal analysis method, the coupling factor is used to judge the occurrence of transition, the parameter instability caused by the meshing stiffness change is analyzed by the multi-scale method. The results the change rule on eigenvalue sensitivity, mode transition criterion and coincidence degree variation instabilities are obtained, the obtained rules can be used for dynamic analysis and design optimization. © 2019 World Scientific Publishing Company. |
| 关键词 | Eigenvalues and eigenfunctions Epicyclic gears Modal analysis Stiffness Wind turbines Coincidence degree Design optimization Dynamic characteristics Eigenvalue sensitivity Meshing stiffness Model transition Parameter instability Planetary gear systems |
| DOI | 10.1142/S0218001419590122 |
| 收录类别 | EI ; SCIE |
| 语种 | 英语 |
| WOS研究方向 | Computer Science |
| WOS类目 | Computer Science, Artificial Intelligence |
| WOS记录号 | WOS:000461836600011 |
| 出版者 | World Scientific |
| EI入藏号 | 20184105918332 |
| EI分类号 | 601.2 Machine Components ; 615.8 Wind Power (Before 1993, use code 611 ) ; 921 Mathematics ; 951 Materials Science |
| 原始文献类型 | Journal article (JA) |
| 出版地 | SINGAPORE |
| 引用统计 | |
| 文献类型 | 期刊论文 |
| 条目标识符 | https://ir.cqcet.edu.cn/handle/39TD4454/3216 |
| 专题 | 重庆电子科技职业大学 智能制造与汽车学院 |
| 作者单位 | Chongqing College of Electronic Engineering, Chongqing; 401331, China |
| 第一作者单位 | 重庆电子科技职业大学 |
| 推荐引用方式 GB/T 7714 | Wang, ChunGuang. Analysis of modal transition and coincidence degree variation instabilities of wind turbine planetary gear system[J]. INTERNATIONAL JOURNAL OF PATTERN RECOGNITION AND ARTIFICIAL INTELLIGENCE,2019,33(4). |
| APA | Wang, ChunGuang.(2019).Analysis of modal transition and coincidence degree variation instabilities of wind turbine planetary gear system.INTERNATIONAL JOURNAL OF PATTERN RECOGNITION AND ARTIFICIAL INTELLIGENCE,33(4). |
| MLA | Wang, ChunGuang."Analysis of modal transition and coincidence degree variation instabilities of wind turbine planetary gear system".INTERNATIONAL JOURNAL OF PATTERN RECOGNITION AND ARTIFICIAL INTELLIGENCE 33.4(2019). |
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| Wang-2019-Analysis o（263KB） | 期刊论文 | 出版稿 | 开放获取 | CC BY-NC-SA | 浏览 下载 | |
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