摘要
齿轮箱是风电机组关键的子系统,其润滑系统的智能控制和管理是延长其使用寿命的重要因素。采用灰色理论对润滑监控参数进行预测,实现对齿轮箱润滑状态的实时监测和预判,采用故障树模型对润滑系统的故障进行诊断,提高诊断的效率和准确率。
Gearbox is the key subsystem of a wind power unit,and the intelligent control and management is a key to prolong service life of lubrication system. It forecasts lubrication monitoring parameters by taking the Grey theory,which achieves the real-time monitoring and prediction on gearbox lubrication condition. Fault tree model is used to diagnose the fault in lubricating system,which can improves the efficiency and accuracy of diagnosis.
出处
《华电技术》
CAS
2018年第2期4-6,共3页
HUADIAN TECHNOLOGY
基金
河南省高等学校重点科研项目(16A460009
17B520019)
河南省教育厅科学技术研究重点项目(14B413006)
关键词
风电齿轮箱
润滑系统
灰色理论
故障树
状态监测
故障诊断
wind power gearbox
lubrication system
Grey theory
fault tree
condition monitor
condition diagnosis