首页> 外文期刊>Metrology and Measurement Systems: Metrologia i Systemy Pomiarowe >Comparison of Amplitude-Based and Phase-Based Methods for Speed Tracking in Application to Wind Turbines
【24h】

Comparison of Amplitude-Based and Phase-Based Methods for Speed Tracking in Application to Wind Turbines

机译:基于幅度和基于相位的速度跟踪方法在风力涡轮机中的应用比较

获取原文
           

摘要

Focus of the vibration expert community shifts more and more towards diagnosing machines subjected to varying rotational speeds and loads. Such machines require order analysis for proper fault detection and identification. In many cases phase markers (tachometers, encoders, etc) are used to help performing the resampling of the vibration signals to remove the speed fluctuations and smearing from the spectrum (order tracking). However, not all machines have the facility to install speed tracking sensors, due to design or cost reasons, and the signal itself has to then be used to extract this information. This paper is focused on the problem of speed tracking in wind turbines, which represent typical situations for speed and load variation. The basic design of a wind turbine is presented. Two main types of speed control i.e. stall and pitch control are presented,. The authors have investigated two methods of speed tracking, using information from the signal (without relying on a speed signal). One method is based on extracting a reference signal to use as a tachometer, while the other is phase-based (phase demodulation). Both methods are presented and applied to the vibration data from real wind turbines. The results are compared with each other and with the actual speed data.
机译:振动专家社区的关注点越来越多地转向诊断转速和负载变化的机器。此类机器需要进行订单分析,以正确检测和识别故障。在许多情况下,相位标记(转速计,编码器等)用于帮助执行振动信号的重采样,以消除频谱中的速度波动和拖尾现象(顺序跟踪)。但是,由于设计或成本原因,并非所有机器都可以安装速度跟踪传感器,因此必须使用信号本身来提取此信息。本文关注于风力涡轮机中的速度跟踪问题,该问题代表了速度和负载变化的典型情况。介绍了风力涡轮机的基本设计。提出了两种主要的速度控制类型,即失速和俯仰控制。作者研究了两种速度跟踪方法,使用了来自信号的信息(不依赖速度信号)。一种方法是基于提取参考信号以用作转速表,而另一种方法是基于相位的(相位解调)。提出了这两种方法并将其应用于来自真实风力涡轮机的振动数据。将结果相互比较,并与实际速度数据进行比较。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号