Home           Contact us           FAQs           
   Journal Page   |   Aims & Scope   |   Author Guideline   |   Editorial Board   |   Search
2013 (Vol. 6, Issue: 16)
Article Information:

Research on Wind Turbine Generator Dynamic Reliability Test System Based on Feature Recognition

Bin Wang, Yuemiao Wang and Xinbo Chen
Corresponding Author:  Xinbo Chen 

Key words:  Bayesian network, dynamic reliability test, feature recognition, GPRS, wind turbine generator, ,
Vol. 6 , (16): 3065-3071
Submitted Accepted Published
January 12, 2013 February 07, 2013 September 10, 2013

Wind power resource development is increasingly becoming the focus of the current research and development in various countries' relevant scientific institutions. To make sure the secure and reliable operation of wind turbine generator, the study develops the wind turbine generator dynamic reliability test system. When the fault of gearbox and spindle occurs, their features of vibration signals are special. According to the feature recognition technology, the application of time and frequency domain model identification method has practical significance to the test system. Based on Bayesian network fault diagnosis method, the vibration feature recognition system of wind turbine generator is constructed. Finally, the paper uses GPRS technology to realize the wireless transmission of operation information. The wind turbine generator dynamic reliability test system is built based on GPRS technology to realize automatic control and remote intelligent monitoring and to ensure the safe and stable operation of wind farms.
Abstract PDF HTML
  Cite this Reference:
Bin Wang, Yuemiao Wang and Xinbo Chen, 2013. Research on Wind Turbine Generator Dynamic Reliability Test System Based on Feature Recognition.  Research Journal of Applied Sciences, Engineering and Technology, 6(16): 3065-3071.
    Advertise with us
ISSN (Online):  2040-7467
ISSN (Print):   2040-7459
Submit Manuscript
   Current Information
   Sales & Services
   Contact Information
  Executive Managing Editor
  Email: admin@maxwellsci.com
  Publishing Editor
  Email: support@maxwellsci.com
  Account Manager
  Email: faisalm@maxwellsci.com
  Journal Editor
  Email: admin@maxwellsci.com
  Press Department
  Email: press@maxwellsci.com
Home  |  Contact us  |  About us  |  Privacy Policy
Copyright © 2009. MAXWELL Science Publication, a division of MAXWELLl Scientific Organization. All rights reserved