A time-frequency analysis approach for condition monitoring of a wind turbine gearbox under varying load conditions
A time-frequency analysis approach for condition monitoring of a wind turbine gearbox under varying load conditions
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DOI：
10.1016/j.ymssp.2015.03.003
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发表时间：
2015-12-01
影响因子：
8.4
通讯作者：
Worden, K.
中科院分区：
文献类型：
--
作者：
Antoniadou, I.;Manson, G.;Worden, K.
本文研究了变工况下风力涡轮机齿轮箱的状态监测问题。一般来说，齿轮箱系统包括非线性，所以一个简化的非线性齿轮模型的开发，提出的时频分析方法是第一次应用于最简单的理解所面临的挑战。在模拟中以及随后在真实的风力涡轮机齿轮箱实验数据中检查了变化载荷的影响。经验模态分解（EMD）方法用于将振动信号分解成与信号的特定频带相关联的有意义的信号分量。模式混合问题的EMD检查在模拟部分，并在该部分的文件中的结果表明，进一步的研究可能是感兴趣的状态监测条款。对于所产生的信号分量的幅频解调，希尔伯特变换（HT）被用作标准方法。此外，Teager-Kaiser能量算子（TKEO），结合能量分离算法，是一个最近的替代方法，其性能也进行了测试的文件。结果表明，WED方法是一个很有前途的替代HT，因为它可以提高估计的瞬时谱特征的振动数据在一定条件下。皇冠版权所有（C）2015由爱思唯尔有限公司发布。
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 WED 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. Crown Copyright (C) 2015 Published by Elsevier Ltd.