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State Recognition for Main Bearing of Wind Turbines Based on Multi-fractal Theory¼ìË÷eiºÅµÈÏêϸÐÅÏ¢¡£ÁíÍâÕâ¸öÊÇʲôʱºò±»¼ìË÷µÄÄØ£¿ÊÇ2012Ä껹ÊÇ2013Äê¼ìË÷µÄ¡£Ð»Ð»°¡¡£
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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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