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A VMD Denoising-based Imbalance Fault Detection Method for Marine Current Turbine

机译:基于VMD去噪的船用水轮机不平衡故障检测方法

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Marine current turbine (MCT) has been vigorously developed by many countries in the world because of its own advantages. However, the blade imbalance fault is the result of the marine biological attachments that will easily affect the efficiency of MCT. In this paper, a novel VMD denoising method is employed to detect the MCT blade imbalance fault. Firstly, the Hilbert transform (HT) is used to get the instantaneous frequency of the stator current. Then, the instantaneous frequency is broken up into several intrinsic mode functions (IMF) components by variational mode decomposition (VMD). And the objective IMF is selected by the maximal information coefficient (MIC). Finally, the PSD analysis is used to detect the imbalance fault. The effectiveness of the proposed method for fault detection is validated by experimental results.
机译:船用水轮机(MCT)由于其自身的优势而被世界上许多国家大力开发。但是,叶片失衡故障是海洋生物附着物的结果,很容易影响MCT的效率。本文采用一种新颖的VMD去噪方法来检测MCT叶片不平衡故障。首先,使用希尔伯特变换(HT)来获取定子电流的瞬时频率。然后,瞬时频率通过变分模式分解(VMD)分解为几个固有模式函数(IMF)分量。然后,通过最大信息系数(MIC)选择目标IMF。最后,通过PSD分析来检测失衡故障。实验结果验证了该方法在故障检测中的有效性。

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