电力系统保护与控制2012，Vol.40Issue(13)：67-73,7.
基于统计过程控制的风机齿轮箱故障预测
Failure prediction of wind turbine gearbox based on statistical process control
摘要
Abstract
In order to reduce the gearbox failure of wind turbine and ensure a consistently secure operation of wind turbine units, the condition monitoring data of wind turbine operation are analyzed online, and a method of statistical process control (SPC) for failure prediction of wind turbine gearbox based on least squares support vector machines (LSSVM) is proposed. The model for normal behaviour of gearbox is built up by LSSVM, and the real-time data of wind turbine operation are used to predict the temperature of gearbox oil and bearing at certain time in normal condition, and then the prediction data are compared with the actual data. Then, the residual error between predicted values and the actual values is analyzed by SPC. According to the results from SPC analysis, some failures about gearbox can be predicted.关键词
风电机组/齿轮箱/最小二乘支持向量机/统计过程控制/故障预测Key words
wind turbine/ gearbox/ least square support vector machines/ statistical process control/ failure prediction分类
信息技术与安全科学引用本文复制引用
赵洪山,胡庆春,李志为..基于统计过程控制的风机齿轮箱故障预测[J].电力系统保护与控制,2012,40(13):67-73,7.基金项目
河北省自然科学基金(E2010001694) （E2010001694）
