• Medientyp: E-Artikel
  • Titel: Study on fault feature extraction of ECS turbine bearing by combination of EEMD and HMM
  • Beteiligte: Yan, Jianqiang; Yu, Jiangyun; Zhuang, Weidong; Li, Long; Chen, Yongwei
  • Erschienen: IOP Publishing, 2022
  • Erschienen in: Journal of Physics: Conference Series
  • Sprache: Nicht zu entscheiden
  • DOI: 10.1088/1742-6596/2181/1/012037
  • ISSN: 1742-6588; 1742-6596
  • Schlagwörter: General Physics and Astronomy
  • Entstehung:
  • Anmerkungen:
  • Beschreibung: <jats:title>Abstract</jats:title> <jats:p>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.</jats:p>
  • Zugangsstatus: Freier Zugang