沈阳工业大学学报2011，Vol.33Issue(6)：629-634,6.
基于灰色理论的风机变桨距驱动器故障预测
Fault prediction of variable-pitch driver in wind power generator based on grey theory
摘要
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 the greenness degree of the prediction model,the data sequence was momentarily renewed with adopthing the equal dimension metabolism algorithm and on the basis of the practical situation.The gray prediction method with variational step-length was put forward,and the empirical formula for step-lenth selection was derived based on the experimental data.The UCE detecting circuit with the high anti-interference capability,high response speed,good reliability and simple structure was designed.The experimental result shows that the equal dimension metabolism grey prediction algorithm can effectivly predict the UCE of IGBT and improve the reliability of stopping wind power generator.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Key words
variable-pitch driver/reliability/innovation grey theory/equal dimension metabolism algorithm/GM（1/1） model/grey prediction/inverter circuit/UCE of IGBT分类
信息技术与安全科学引用本文复制引用
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):629-634,6.基金项目
国家“十一五”支撑计划资助项目 （）
