【24h】

Fault Diagnosis of Wind Turbine Based on Empirical Mode Decomposition

机译:基于经验模式分解的风力涡轮机故障诊断

获取原文
获取外文期刊封面目录资料

摘要

The structure of the gearbox of wind turbine is complex. The working environment is bad and the load is heavy which results in frequent failure of the gearbox parts and huge economic losses. In this paper, the signal processing method combined with empirical mode decomposition and improved bispectrum is used to diagnose the gearbox of wind turbine and the condition of wind turbine is monitored by a portable inspection. The feasibility and applicability of this method in the fault diagnosis of wind turbine gearbox are checked by an example.
机译:风力涡轮机的齿轮箱的结构是复杂的。工作环境很糟糕,负荷很重,导致齿轮箱部件的频繁失效和巨大的经济损失。在本文中,使用与经验模式分解和改进的BISPectrum结合的信号处理方法用于诊断风力涡轮机的齿轮箱,并且通过便携式检查监测风力涡轮机的条件。这种方法在风力涡轮机齿轮箱故障诊断中的可行性和适用性被示例检查。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号