运行状态下海上风机结构振源特性研究

PDF(1426 KB)

振动与冲击 ›› 2017, Vol. 36 ›› Issue (17) : 21-28.

论文

运行状态下海上风机结构振源特性研究

董霄峰，练继建，王海军

作者信息 +

Study on Vibration Source Features of Offshore Wind Power Structure under the Operational Conditions

DONG Xiao-feng, LIAN Ji-jian, WANG Hai-jun

Author information +

文章历史 +

摘要

由于海上风机结构运行环境的复杂性，其振源的准确识别与振源特性研究已经成为风机运行安全性评估的重点问题。以某新型复合式筒型基础结构海上风力发电试验样机为研究对象，依据原型观测获得的全负荷条件下结构不同位置的振动响应数据，对不同运行工况下诱发结构振动的振源进行全面识别与分析。首先利用谱峭度法识别明确引起海上风机结构振动的主要振源及其对应振动响应的频域属性，再通过经验模态分解法对实测信号进行分解得到表征各振源特性的频域或频率尺度的分量，同时引入振动能量法对不同振源的能量比重进行统计分析，最后给出了海上风机结构运行状态下结构整体振动主振源及其对应振动能量分布随运行因素变化的分布规律。研究表明随着机组负荷的增加运行状态下海上风机结构振动的振源变化遵循由单一的环境荷载激励转为环境荷载激励和叶轮转动联合作用再到完全由叶轮转动产生的谐波激励影响的规律。

Abstract

Due to the complexity in the operational environment of the offshore wind power structure, the accurate identification of the structure vibration source and the study on the vibration source characteristics have become the focus on the security assessment of the structure under the operation state. A new structural configuration called composite bucket foundation was applied to a certain experimental prototype of the offshore wind power structure and the main vibration source of that structure has been identified and analyzed comprehensively under sorts of capacity condition based on the vibration response data in different location of the structure obtained from prototype test. Firstly, the main vibration source type, which led to the structural vibration of offshore wind turbine, and the frequency domain properties of corresponding vibration responses were identified and made clear based on the spectral kurtosis method (SK). Secondly, the frequency domain and frequency scale on the different structural vibration source were showed in the signal components decomposed from the measured signal using empirical mode decomposition method (EMD). Simultaneously the energy proportions of the various vibration source compared to the total signal energy were counted and analyzed by vibration energy method and the result gives expression to regular pattern on the variation of main vibration source of entire structure and the distribution of relevant vibration energy with the change of operational factors. It is conclusion that the vibration sources of the offshore wind power structure under the operational conditions will change in accordance with such regularity that it begins with single environmental excitation and transforms from the simultaneous effect combined ambient loads with impeller rotation to the influence entirely coming from harmonic excitation.

导出引用

董霄峰，练继建，王海军. 运行状态下海上风机结构振源特性研究[J]. 振动与冲击, 2017, 36(17): 21-28

DONG Xiao-feng, LIAN Ji-jian, WANG Hai-jun. Study on Vibration Source Features of Offshore Wind Power Structure under the Operational Conditions[J]. Journal of Vibration and Shock, 2017, 36(17): 21-28

参考文献

[1] 陈小波，李静，陈健云.海上风电机组随机风浪荷载时程数值计算[J].太阳能学报，2011，32（3）：288-295.
Chen Xiaobo, Li Jing, Chen Jianyun. Numerical calculation of random wind and wave loads time history of offshore wind turbine [J]. Acta Energiae Solaris Sinica, 2011,32(3): 288-295.
[2] Enzo Marino, Claudio Borri, Udo peil. Offshore wind turbines: a wind-fully nonlinear waves integrated model [A]. The Fifth International Symposium on Computational Wind Engineering, Chapel Hill, North Carolina, USA, May 23-27, 2010.
[3] 刘志强.海上风力发电支撑体系在环境荷载作用下动力响应分析[D].大连：大连理工大学，2008.
   Liu Zhiqiang. Dynamic response analysis of wind turbine tower subjected to environmental loads [D].Dalian University of Technology, 2008.
[4] R. Andrew Swartz, Jerome P. Lynch, Stephan Zerbst, et al. Structural monitoring of wind turbines using wireless sensor networks [J].Smart Structure and systems,2010,6(3):1-14.
[5] 马人乐，马跃强，刘慧群等. 风电机组塔筒模态的环境脉动实测与数值模拟研究[J].振动与冲击，2011，30（5）：152-155.
   Ma Renle,Ma, Yueqiang, Liu Huiqun, et al. Ambient vibration test and numerical simulation for modes of wind turbine towers[J].Joumal of Vibration and Shock,2011,30(5):152-155.
[6] V.D. Vrabie, P. Granjon, C. Serviere. Spectral kurtosis: from definition to application [C]. In the Proceedings of the Sixth IEEE NSPI Grado-Trieste, Italy, 2003.
[7] Jean-Luc Dion, Cyrille Stephan, Gaël Chevallier, et al. Tracking and removing modulated sinusoidal components: A solution based on the kurtosis and the Extended Kalman Filter [J]. Mechanical Systems and Signal Processing, 2013, 38:428-439.
[8] J.-L. Dion, I. Tawfiq, G. Chevallier. Harmonic component detection: Optimized Spectral Kurtosis for operational modal analysis [J]. Mechanical Systems and Signal Processing, 2012, 26:24-33.
[9] Huang N E, Shen Z. The empirical mode decomposition and Hilbert spectrum for nonlinear and non-stationary time analysis[A]. Proceedings of the Royal Society of London, Series A. 1998, 454:903-995.
[10] Yannis Koosinis, Steve Mclaughlin. Investigation and performance enhancement of the empirical mode decomposition method based on a Heuristic search optimization approach [J]. Transactions on Signal Processing.2008,56(1):1-13.
[11] 穆钢，史坤鹏，安军等.结合经验模态分解的信号能量法及其在低频振荡中的应用[J].中国电机工程学报，2008，28（19）：36-41.
    Mu Gang, Shi Kunpeng, Anjun, et al. Signal energy method based on EMD and its application to research of low frequency oscillations[J]. Proceedings of the CSEE, 2008, 28(19): 36-41.
[12] 袁浩东.基于振动能量的故障诊断方法研究[D].郑州：郑州大学，2012.
    Yuan Haodong. Research on Fault Diagnosis Method based on Vibration Energy [D]. Zhengzhou University, 2012.
[13] 张超，陈建军，郭讯.基于EMD能量熵和支持向量机的齿轮故障诊断方法[J].振动与冲击，2010，29（10）：216-220.
    Zhang Chao, Chen Jianjun, Guo Xun. A gear fault diagnosis method based on EMD energy entropy and SVM[J]. Joumal of Vibration and Shock, 2010,29(10):216-220.
[14] Lian Jijian, Sun Liqiang, Zhang Jinfeng et al. Bearing Capacity and Technical Advantages of Composite Bucket Foundation of Offshore Wind Turbines [J]. Transactions of Tianjin University. 2011,17: 132-137.
[15] Lian Jijian, Ding Hongyan, Zhang Puyang et al. Design of Large-Scale Prestressing Bucket Foundation for Offshore Wind Turbines [J]. Transactions of Tianjin University. 2012,18: 079-084.
[16] Xiaofeng Dong, Jijian Lian, Min Yang, et al. Operational Modal Identification of Offshore Wind Turbine Structure based on Modified SSI Method considering Harmonic Interference. Journal of Renewable and Sustainable Energy, 2014, 6(3), 033128(1-29).
[17] 董霄峰. 海上风机结构振动特性分析与动态参数识别研究[D]. 天津：天津大学，2015.
    Dong Xiaofeng. Vibration behavior analysis and dynamic parameter identification of offshore wind turbine structure [D]. Tianjin University, 2015.