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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. |
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