过渡循环对风力机疲劳评估的影响及修正

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摘要随着风力机的装机容量和尺寸的不断增大，其运行环境更为复杂，疲劳问题突出，需要准确预测风力机结构遭受的实际疲劳损伤。通过对1.5MW风力机的塔底应变进行长期监测，研究了不同方法在处理雨流计数后残余数据点问题上的准确性。首先，通过采用不同的计算时窗，分析过渡循环对疲劳损伤的影响，选择的计算时窗越短，得到的疲劳损伤误差越大，计算时窗为10min时，误差达到了20.7%。然后，使用残波串联法处理残余数据点，此时选择不同的计算时窗得到的损伤值均与将监测时段内所有数据作为连续序列得到的结果相同，证明了该方法在处理雨流残余数据时的准确性。该成果为风力机结构疲劳损伤在线预测提供了解决方法，可以更加准确的得到构件的实时损伤。

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	赵艳1
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	杨哲1
	王新武2
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	李晓露3
	陈枫4

关键词 ：风力机, 疲劳损伤, 雨流计数法, 残波, 过渡循环, 残波串联法

Abstract：With the increasing of the installed capacity and dimension of the wind turbine, its operating environment is more complex and the fatigue problem is prominent. So it is necessary to accurately predict the actual fatigue damage suffered by the wind turbine structure. Through long-term monitoring of tower bottom strain of 1.5MW wind turbine, the accuracy of different methods in dealing with residue series after rainflow counting is studied. First, the influence of transition cycles on fatigue damage was studied using different window lengths. The shorter the selected window length is, the greater the fatigue damage error is. When the window length was 10min, the error reached 20.7%. Then, residue concatenation methodology was used to process residue series. At this time, the damage values obtained by selecting different window lengths were the same as those obtained by taking all data in the monitoring period as continuous series, which proved the accuracy of this method in processing residue series. The results provide a solution for the online prediction of fatigue damage of wind turbine structures, and can obtain the fatigue damage in real time more accurately.

Key words： wind turbine fatigue damage rainflow counting method residue series transition cycles residue concatenation methodology

收稿日期: 2022-12-19 出版日期: 2024-02-15

引用本文:

赵艳1,2，杨哲1，王新武2,3，李晓露3，陈枫4. 过渡循环对风力机疲劳评估的影响及修正[J]. 振动与冲击, 2024, 43(3): 241-246.
ZHAO Yan1,2, YANG Zhe1, WANG Xinwu2,3, LI Xiaolu3, CHEN Feng4. Effects and correction of transition cycles on fatigue assessment of wind turbine. JOURNAL OF VIBRATION AND SHOCK, 2024, 43(3): 241-246.

链接本文:

http://jvs.sjtu.edu.cn/CN/ 或 http://jvs.sjtu.edu.cn/CN/Y2024/V43/I3/241

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