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基于SCADA数据的风力发电机组振动监测与分析

成立峰 万书亭 绳晓玲

噪声与振动控制2016,Vol.36Issue(5):160-163,4.
噪声与振动控制2016,Vol.36Issue(5):160-163,4.DOI:10.3969/j.issn.1006-1335.2016.05.033

基于SCADA数据的风力发电机组振动监测与分析

Monitoring and Analysis of Wind Turbine Vibration Based on SCADA Data

成立峰 1万书亭 1绳晓玲1

作者信息

  • 1. 华北电力大学 能源动力与机械工程学院,河北 保定 071003
  • 折叠

摘要

Abstract

Wind turbines often suffer from a series of engineering issues such as vibration overruns and turbine downtime etc. due to the wind characteristic change, unsuitable control strategy, manufacturing and installation errors and so on. In this paper, the wind characteristic model is established and the SCADA data of the wind farm is extracted. Then, using the statistical methods such as data correction, rich contents of the SCADA data are analyzed. The influence of the statistical mean value of wind speed, turbulence intensity and the statistical mean value of rotor speed on the wind turbine vibration is studied. The results indicate that the influences of these factors on wind turbine vibration are quite different. The results provide a useful reference for wind farm SCADA data analysis, wind turbine operation assessment and on-site maintenance etc.

关键词

振动与波/风力发电机组/风电场/SCADA数据/振动监测/湍流

Key words

vibration and wave/wind turbines/wind farm/SCADA data/vibration monitoring/turbulence

分类

信息技术与安全科学

引用本文复制引用

成立峰,万书亭,绳晓玲..基于SCADA数据的风力发电机组振动监测与分析[J].噪声与振动控制,2016,36(5):160-163,4.

基金项目

中央高校基本科研业务费专项资金资助(2014XS82);河北省自然科学基金资助项目 ()

噪声与振动控制

OACSCDCSTPCD

1006-1355

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