271 / 2021-11-08 12:48:54
Study on fault feature extraction of ECS turbine bearing by combination of EEMD and HMM
EEMD,HMM,rolling bearings,vibration,fault diagnose
全文被拒
Jianqiang Yan / State Grid Huzhou Electric Power Supply Company;Zhejiang Tailun Electric Power Group Co.,Ltd.,
Jiangyun Yu / State Grid Huzhou Electric Power Supply Company
Weidong Zhuang / State Grid Huzhou Electric Power Supply Company;Zhejiang Tailun Electric Power Group Co.,Ltd.,
Long Li / State Grid Huzhou Electric Power Supply Company
Yongwei Chen / State Grid Huzhou Electric Power Supply Company;Zhejiang Tailun Electric Power Group Co.,Ltd.,
According to nonstationary characteristics of aircraft environment control system turbine bearings, the objective in the paper is to present EEMD and HMM method to extract characteristic quantities. Firstly, vibration signals under different operating conditions, such as normal bearing and cage fracture under partial load condition, are decomposited by EEMD to filter noise signal and advance signal-to-noise. Then HMM of those signals is calculated, contrasted and analyzed after space reconstruction. The experimental result show that the HMM can be used as the characteristic quantity of ECS turbine bearing on running state. Moreover, this method can accurately and effectively identify the running state of the bearing.

 
重要日期
  • 会议日期

    07月11日

    2023

    08月18日

    2023

  • 11月10日 2021

    初稿截稿日期

  • 12月10日 2021

    注册截止日期

  • 12月11日 2021

    报告提交截止日期

主办单位
IEEE IAS
承办单位
IEEE IAS Student Chapter of Southwest Jiaotong University (SWJTU)
IEEE IAS Student Chapter of Huazhong University of Science and Technology (HUST)
IEEE PELS (Power Electronics Society) Student Chapter of HUST
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