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Meshing frequency modulation assisted empirical wavelet transform for fault diagnosis of wind turbine planetary ring gear

机译：啮合调频辅助经验小波变换在风力发电机行星齿圈故障诊断中的应用

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Condition monitoring and fault diagnosis for wind turbine gearbox is significant to save operation and maintenance costs. However, strong interferences from high-speed parallel gears and background noises make fault detection of wind turbine planetary gearbox challenging. This paper addresses the fault diagnosis for wind turbine planetary ring gear, which is intractable for traditional spectral analysis techniques, since the fault characteristic frequency of planetary ring gear can be resulted from the revolving planet gears inducing modulations even in healthy conditions. The main contribution is to establish an adaptive empirical wavelet transform framework for fault-related mode extraction, which incorporates a novel meshing frequency modulation phenomenon to enhance the planetary gear related vibration components in wind turbine gearbox. Moreover, an adaptive Fourier spectrum segmentation scheme using iterative backward-forward search algorithm is developed to achieve adaptive empirical wavelet transform for fault-related mode extraction. Finally, fault features are identified from envelope spectrums of the extracted modes. The simulation and experimental results show the effectiveness of the proposed framework for fault diagnosis of wind turbine planetary ring gear. Comparative studies prove its superiority to reveal evident fault features and avoid the ambiguity from the planet carrier rotational frequency over ensemble empirical mode decomposition and spectral kurtosis. (C) 2018 Elsevier Ltd. All rights reserved.
机译：风力涡轮机变速箱的状态监视和故障诊断对于节省运行和维护成本非常重要。然而，来自高速平行齿轮的强烈干扰和背景噪声使风力涡轮机行星齿轮箱的故障检测变得困难。本文讨论了风力涡轮机行星齿圈的故障诊断，这对于传统的频谱分析技术而言是难以解决的，因为即使在健康条件下，行星齿圈的故障特征频率也可以由旋转的行星齿轮引起的调制产生。主要贡献在于建立用于故障相关模式提取的自适应经验小波变换框架，该框架结合了新颖的啮合频率调制现象，以增强风力涡轮机变速箱中与行星齿轮相关的振动分量。此外，开发了一种使用迭代后向搜索算法的自适应傅立叶频谱分割方案，以实现针对故障相关模式提取的自适应经验小波变换。最后，从提取模式的包络谱中识别出故障特征。仿真和实验结果表明，所提出的框架对风力发电机行星齿轮的故障诊断是有效的。比较研究证明了其优越性，可以揭示明显的断层特征，并且避免了行星架旋转频率相对于整体经验模态分解和谱峰度的歧义。 （C）2018 Elsevier Ltd.保留所有权利。

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