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A time-frequency analysis approach for condition monitoring of a wind turbine gearbox under varying load conditions

机译:一种时频分析方法,用于在变化的负载条件下监测风机齿轮箱的状态

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摘要

This paper deals with the condition monitoring of wind turbine gearboxes under varying operating conditions. Generally, gearbox systems include nonlinearities so a simplified nonlinear gear model is developed, on which the time-frequency analysis method proposed is first applied for the easiest understanding of the challenges faced. The effect of varying loads is examined in the simulations and later on in real wind turbine gearbox experimental data. The Empirical Mode Decomposition (EMD) method is used to decompose the vibration signals into meaningful signal components associated with specific frequency bands of the signal. The mode mixing problem of the EMD is examined in the simulation part and the results in that part of the paper suggest that further research might be of interest in condition monitoring terms. For the amplitude-frequency demodulation of the signal components produced, the Hilbert Transform (HT) is used as a standard method. In addition, the Teager-Kaiser energy operator (TKEO), combined with an energy separation algorithm, is a recent alternative method, the performance of which is tested in the paper too. The results show that the TKEO approach is a promising alternative to the HT, since it can improve the estimation of the instantaneous spectral characteristics of the vibration data under certain conditions.
机译:本文研究了在变化的运行条件下对风力涡轮机变速箱的状态监控。通常,变速箱系统包括非线性,因此开发了简化的非线性齿轮模型,首先将提出的时频分析方法用于最简单地了解所面临的挑战。在模拟中检查了变化负载的影响,随后在实际风力涡轮机变速箱实验数据中进行了检查。经验模式分解(EMD)方法用于将振动信号分解为与信号的特定频带关联的有意义的信号分量。在仿真部分检查了EMD的模式混合问题,并且该部分的结果表明,在状态监视方面可能需要进行进一步的研究。为了对产生的信号分量进行幅频解调,将希尔伯特变换(HT)用作标准方法。此外,Teager-Kaiser能量算子(TKEO)与能量分离算法相结合是一种最新的替代方法,其性能也在本文中进行了测试。结果表明,TKEO方法是HT的有希望的替代方法,因为它可以改善在某些条件下振动数据的瞬时频谱特征的估计。

著录项

  • 来源
    《Mechanical systems and signal processing》 |2015年第12期|188-216|共29页
  • 作者单位

    Dynamics Research Group, Mechanical Engineering Department, The University of Sheffield, Mappin Street, Sheffield S1 3JD, United Kingdom;

    Dynamics Research Group, Mechanical Engineering Department, The University of Sheffield, Mappin Street, Sheffield S1 3JD, United Kingdom;

    Department of Robotics and Mechatronics, Faculty of Mechanical Engineering and Robotics, AGH University of Science and Technology, Al. Mickiewicza 30, 30-059 Krakow, Poland;

    Department of Robotics and Mechatronics, Faculty of Mechanical Engineering and Robotics, AGH University of Science and Technology, Al. Mickiewicza 30, 30-059 Krakow, Poland;

    Dynamics Research Group, Mechanical Engineering Department, The University of Sheffield, Mappin Street, Sheffield S1 3JD, United Kingdom;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Condition monitoring; Wind turbine gearboxes; Time-varying loads; Empirical mode decomposition; Teager-Kaiser energy operator; Hilbert transform;

    机译:状态监测;风力发电机齿轮箱;随时间变化的负载;经验模式分解;Teager-Kaiser能源运营商;希尔伯特变换;

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