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An Improved Time-Frequency Analysis Method based on the Energy Gridding for Offshore Wind Turbines

机译:基于海上风力涡轮机的能量网格的改进的时频分析方法

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The Hilbert-Huang transform (HHT) has been used in many fields fortime-frequency analysis of the non-linear and non-stationary signal. Butwhen implementing the HHT to analyze the measurement signals fromactual offshore wind turbines, due to the large rigidity and weak waveenergy, the results will suffer a serious mode-mixing problem andcontain a lot of noises which will lead to a bad result. In this paper, a newtime-frequency analysis method based on the Hilbert transform isintroduced, the Intrinsic mode functions (IMF) obtained by empiricalmode decomposition (EMD) is redefined by introducing a combinationof state-space model and energy gridding. To demonstrate the proposedmethod, one numerical example of three slow varying frequencycomponents was used. Specifically, a field test on an offshore windturbine located in the Putuo of Zhejiang Province of China is introduced,and measured data are used to verify the effectiveness of the proposedmethod. The result demonstrates that the proposed method has a betterperformance when implemented on the offshore wind turbines.
机译:Hilbert-Huang变换(HHT)已被用于许多领域非线性和非静止信号的时频分析。但实施HHT以分析测量信号实际的海上风力涡轮机,由于刚性大而弱波浪能量,结果将遭受严重的模式混合问题包含大量的噪音,这会导致糟糕的结果。在本文中,一个新的基于Hilbert变换的时频分析方法是介绍,通过经验获得的内在模式功能(IMF)模式分解(EMD)通过引入组合重新定义国内空间模型和能量网格。展示提议的方法,三个慢速频率的一个数值例子组分被使用。具体而言,在海上风的田间测试介绍了位于中国浙江省普陀的涡轮机,测量数据用于验证所提出的有效性方法。结果表明,所提出的方法有更好在离岸风力涡轮机上实施时的性能。

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