A Wavelet Threshold Denoising-Based Imbalance Fault Detection Method for Marine Current Turbines
A Wavelet Threshold Denoising-Based Imbalance Fault Detection Method for Marine Current Turbines
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DOI：
10.1109/access.2020.2972935
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发表时间：
2020
期刊：
影响因子：
3.9
通讯作者：
Zhichao Li;Tianzhen Wang;Yide Wang;Y. Amirat;M. Benbouzid;D. Diallo
中科院分区：
文献类型：
--
作者：
Zhichao Li;Tianzhen Wang;Yide Wang;Y. Amirat;M. Benbouzid;D. Diallo
由海洋生物引起的叶片不平衡故障被认为是海流发电机组最主要的故障。因此，准确、快速地检测故障以减轻其影响、最小化停机时间并最大化生产率是重要的。利用发电机定子电流信号进行不平衡故障检测的方法与振动分析方法相比，具有成本低、可操作性强、稳定性好等优点，受到了广泛关注。然而，在不同的流速条件下提取故障特征并自动检测不平衡故障是困难的。提出了一种基于小波阈值去噪的定子电流不平衡故障检测方法。通过基于小波阈值去噪的参数离线设置、希尔伯特变换方法和基于主成分分析的检测方法对信号进行分析。利用该方法，可以自动检测不平衡故障。在不同流速条件下对不平衡故障检测进行了评估，并使用实验平台进行了验证。当使用Q统计量时，虚警率和漏报率分别小于1%和5%。实验结果表明，该方法在不同流速条件下具有良好的稳定性。
Blade imbalance fault caused by the marine organisms is considered as the most important fault in marine current turbines. Therefore, it is important to detect the fault accurately and quickly to mitigate its effect, minimize the downtime, and maximize the productivity. Imbalance fault detection methods using generator stator current signals have attracted attentions due to their low cost, operability and stability compared to the ones using vibration analysis. However, it is difficult to extract the fault signature and automatically detect the imbalance fault under different flow velocity conditions. In this paper, a wavelet threshold denoising-based imbalance fault detection method using the stator current is proposed. The signal is analyzed through three consecutive steps: the parameters offline setting based on wavelet threshold denoising, the Hilbert transform method and the Principle Component Analysis-based detection method. With this approach, the imbalance fault can be detected automatically. The imbalance fault detection is assessed under different flow velocity conditions and validated using an experimental platform. The results are promising with false alarm and false negative rates less than 1% and 5% respectively when using Q statistic. Moreover, the experimental results show that the proposed method has good stability under different flow velocity conditions.