| 查看: 359 | 回复: 1 | |||
[求助]
求助检索一篇，谢谢！
|
State Recognition for Main Bearing of Wind Turbines Based on Multi-fractal Theory检索ei号等详细信息。另外这个是什么时候被检索的呢？是2012年还是2013年检索的。谢谢啊。 |
回复此楼» 猜你喜欢
29号明天会评吗
已经有4人回复
-
国社科又开始会评了，不知道这次命运如何
已经有10人回复
-
梦想
已经有4人回复
-
中青基了要发朋友圈吗？
已经有6人回复
-
基金不中，共勉
已经有12人回复
-
能否申诉？
已经有7人回复
-
有多少人是今天查系统知道结果的？
已经有19人回复
-
面上意见出来了
已经有19人回复
-
为什么到现在没收到通知？
已经有5人回复
-
有没有仍没收到信息的
已经有8人回复
» 本主题相关价值贴推荐，对您同样有帮助:
- 如何申请期刊被检索，求助各位....
已经有3人回复
- [求助]哪位好人学校可以使用微谱数据库，帮我检索几个化合物的母核。谢谢！
已经有4人回复
- 被SCI和EI检索的论文从哪里可以下载【求助完结】
已经有10人回复
- 求助使用web of science检索文献过程中显示不出检索结果的问题，非常感谢
已经有2人回复
- 【求助/交流】在NCBI中检索遇到的问题
已经有3人回复
- 求助Ei核心和非核心检索！！！
已经有5人回复
- 求助一个关于SCI检索的问题
已经有8人回复
kaye639
铁杆木虫 (知名作家)
- 应助: 39 (小学生)
- 金币: 19704.8
- 散金: 1610
- 红花: 6
- 沙发: 1
- 帖子: 5848
- 在线: 888.7小时
- 虫号: 1444219
- 注册: 2011-10-15
- 性别: GG
- 专业: 水力机械及其系统
【答案】应助回帖
★
杈杈: 金币+1, 感谢应助！ 2013-01-08 10:53:16
杈杈: 金币+1, 感谢应助！ 2013-01-08 10:53:16
|
Accession number: 20125215835745 Title: State recognition for main bearing of wind turbines based on multi-fractal theory Authors: Sun, Ziqiang1 ; Chen, Changzheng1; Zhou, Bo1 Author affiliation: 1 School of Mechanical Engineering, Shenyang University of Technology, Shenyang, China Corresponding author: Sun, Z. (nig999@163.com) Source title: Applied Mechanics and Materials Abbreviated source title: Appl. Mech. Mater. Volume: 229-231 Monograph title: Mechanical and Electrical Technology IV Issue date: 2012 Publication year: 2012 Pages: 975-978 Language: English ISSN: 16609336 E-ISSN: 16627482 ISBN-13: 9783037855102 Document type: Conference article (CA) Conference name: 4th International Conference on Mechanical and Electrical Technology, ICMET 2012 Conference date: July 24, 2012 - July 26, 2012 Conference location: Kuala Lumpur, Malaysia Conference code: 94581 Sponsor: Science and Engineering Institute; Universiti Putra Malaysia Publisher: Trans Tech Publications, P.O. Box 1254, Clausthal-Zellerfeld, D-38670, Germany Abstract: The main bearing dynamic characteristics of megawatt wind turbines are complex system with strong non-linearity, strong coupling and time-varying. The vibration signals are mixed with background noise, so it is difficult to extract the characteristics of week signals. Based on the dynamic characteristics, multi-fractal theory is put forward to detect and recognize the working status of the main bearing of megawatt wind turbines. Different working states are recognized intuitively by different dimensions of multi-fractural which are sensitive to variety of working state. The paper justifies the method can detect and recognize different working states of main bearings quickly and accurately through the experiments on the main bearings of 3 WM wind turbines. © (2012) Trans Tech Publications, Switzerland. Number of references: 9 Main heading: Wind turbines Controlled terms: Dynamics - Fractals - State estimation Uncontrolled terms: Background noise - Bearing dynamics - Dynamic characteristics - Multi fractals - Nonlinear - State recognition - Strong coupling - Time varying - Vibration signal - Working state Classification code: 615.8 Wind Power (Before 1993, use code 611 ) - 731.1 Control Systems - 921 Mathematics - 931.1 Mechanics DOI: 10.4028/www.scientific.net/AMM.229-231.975 Database: Compendex Compilation and indexing terms, © 2012 Elsevier Inc. |
2楼2013-01-08 10:05:14
