| 基于灰色理论的风机变桨距驱动器故障预测 |
| |
| 引用本文： | 梁中华,安占国,朴兴哲,徐宏武.基于灰色理论的风机变桨距驱动器故障预测[J].沈阳工业大学学报,2011,33(6):629-634. |
| |
| 作者姓名： | 梁中华 安占国 朴兴哲 徐宏武 |
| |
| 作者单位： | 沈阳工业大学电气工程学院;沈阳工业大学工程学院;阿塔其大一互电器有限公司技术部; |
| |
| 基金项目： | 国家“十一五”支撑计划资助项目(2006BAA01A03) |
| |
| 摘 要： | 为了提高风力发电系统中的变桨距驱动器的可靠性，提出了以检测IGBT导通压降为基础，采用新息灰预测算法的变桨距驱动器故障预测方法.利用IGBT导通压降的历史数据建立GM（1，1）灰预测模型，对IGBT将来时刻的导通压降进行预测，一旦IGBT预测导通压降超过阈值，系统报警并收桨.采用等维新陈代谢算法，根据实际情况随时更新数据序列，以保证预测模型的新鲜度.提出自动变步长灰预测方法，并通过实验数据得出选取步长的经验公式.设计了IGBT导通压降检测电路，该电路抗干扰能力强、反应速度快，而且结构简单、可靠性好.实验结果表明，等维新陈代谢灰预测算法可有效预测出IGBT导通压降，提高了风机收桨的可靠性.
|
| 关 键 词： | 变桨距驱动器 可靠性 新息灰理论 等维新陈代谢算法 GM（1 1）模型 灰预测 逆变电路 IGBT导通压降 |
Fault prediction of variable-pitch driver in wind power generator based on grey theory |
| |
| LIANG Zhong-huaa,AN Zhan-guoa,PIAO Xing-zheb,XU Hong-wu.Fault prediction of variable-pitch driver in wind power generator based on grey theory[J].Journal of Shenyang University of Technology,2011,33(6):629-634. |
| |
| Authors: | LIANG Zhong-huaa AN Zhan-guoa PIAO Xing-zheb XU Hong-wu |
| |
| Affiliation: | LIANG Zhong-hua1a,AN Zhan-guo1a,PIAO Xing-zhe1b,XU Hong-wu2(1a.School of Electrical Engineering,1b.School of Engineering,Shenyang University of Technology,Shenyang 110870,China,2.Technology Department,Artech Dyh Electric Co.Ltd.,Dalian 116200,China) |
| |
| Abstract: | In order to improve the reliability of variable-pitch driver in wind power generation system,the fault prediction method based on the detection of conduction voltage drop UCE of IGBT and with adopting the innovation grey prediction algorithm was proposed.The UCE of IGBT in future time was predicted through constructing the GM(1,1) grey prediction model using the past data of UCE.When the predicted UCE value is over the threshold value,the system will offer the alarm and the turbine will shut down.To ensure ... |
| |
| Keywords: | variable-pitch driver reliability innovation grey theory equal dimension metabolism algorithm GM(1 1) model grey prediction inverter circuit UCE of IGBT |
| 本文献已被 CNKI 等数据库收录！ |
| 点击此处可从《沈阳工业大学学报》浏览原始摘要信息 |
|
点击此处可从《沈阳工业大学学报》下载全文 |
