现代制造工程Issue(3)：126-131,6.
风力发电机组早期故障诊断
The early fault diagnosis of wind turbine
摘要
Abstract
With the rapid development of the wind power industry ,the number of wind turbines is also rapidly increasing .Howev-er,poor working conditions led to a high failure rate of wind turbines by fault diagnosis techniques to detect the presence of equip -ment failure ,thereby to ensure wind turbines run safely and securely ,which is an effective way to reduce accidents .It presents a wind turbine early fault diagnosis method .Through real-time monitoring of running status of the wind turbine and trend forecas-ting,hidden faults are timely detected of the presence of faults in the process of operation .And using Ensemble Empirical Mode Decomposition ( EEMD) fault signal analysis and processing method to extract fault feature information .Furthermore diagnosed the cause and location of the fault ,finally the appropriate measures are taken .Experiments show the effectiveness of this method .关键词
早期故障诊断/BP神经网络趋势预测/总体经验模式分解Key words
early fault diagnosis/BP network trend forecasting/Ensemble Empirical Mode Decomposition ( EEMD)分类
信息技术与安全科学引用本文复制引用
张晓东,许宝杰,吴国新,左云波..风力发电机组早期故障诊断[J].现代制造工程,2015,(3):126-131,6.基金项目
国家自然科学基金项目（51275052）；北京市自然科学基金资助重点项目（KZ201311232036；3131002；KZ201211232039）；北京市重点实验室开放课题项目 （）
