Research and Application of 'Distribution Acquisition-Centralized Analysis' Vibration Monitoring Mode for Wind Turbine

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Abstract:

With the rapid development of wind power in recent years, the wind power industry has gradually shifted from infrastructure construction to equipment operation and maintenance. The importance of the operation and maintenance of the wind turbine is increasingly apparent. A new vibration monitoring mode of wind turbine, called distribution acquisition-Centralized analysis, has been established by full investigation and study. This mode involves information technology, electronics technology and automation control technology. It is based on the mechanical movement principle and the principles of mechanics analysis. Throughout the one-year application of this vibration monitoring mode in wind farms, it is obseraved that: this model can grasp the operational status of the key equipment of the wind turbine, and effectively identify potential failures in a timely manner. This mode reduces costs of maintenance, improves equipment reliability and extends equipments operation time.

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264-269

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October 2013

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© 2014 Trans Tech Publications Ltd. All Rights Reserved

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[1] State Electricity Regulatory Commission of PRC. The acquisition of clean energy generation in 2012, Jan (2013).

Google Scholar

[2] FX Rongre. Wind Power Part 4: Components and Maintenance Small Wind[C]. San Jose State University. March 2008 FX Rongre. Wind Power Part 4: Components and Maintenance Small Wind[C]. San Jose State University. March (2008).

DOI: 10.53761/1.20.3.06

Google Scholar

[3] Xu Jia, Yue Junhong, Liu Ruihua. The development and situation of wind turbine condition monitor. The annual meeting of Chinese Society for Electrical Engineering, Nov (2012).

Google Scholar

[4] Liu Ruihua, Deng Jie. The analysis and processing of generator bearing fault in wind turbine. Wind Power, 2012(4): 27-34.

Google Scholar