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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
Abstract:

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.
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  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.
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ISSN (Online):  2040-7467
ISSN (Print):   2040-7459
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