• DocumentCode
    3731004
  • Title

    Analysis and comparison of axis orbit characteristics in fault pattern recognition

  • Author

    Lu Yang; Jian Wang; Guigang Zhang; Zhaoping Ding

  • Author_Institution
    Institute of Automation, Chinese Academy of Sciences, Beijing, China
  • fYear
    2015
  • Firstpage
    859
  • Lastpage
    863
  • Abstract
    Axis orbit is very important in fault monitoring and diagnosis of rotary machines. However, characteristics of axis orbit have lots of varieties. To support information fusion of characteristics, this paper elaborates the analysis and comparison of 22 characteristics of axis orbit for the on-line fault pattern recognition. The stability, sensibility and validity of different characteristics are analyzed and compared. The results show that axis orbit faults can hardly be totally discriminated by using any single characteristic Many characteristics are useful to recognize one or several patterns, so that the method using the optimized characteristic combination and the optimized characteristic matching sequence is proposed in this paper that can be used to accurately and rapidly recognize axis orbit fault patterns. This method supports information fusion diagnosis and gives a reference to axis orbit recognition of different kinds of rotary machines.
  • Keywords
    "Orbits","Character recognition","Fault diagnosis","Standards","Monitoring","Stability analysis"
  • Publisher
    ieee
  • Conference_Titel
    Chinese Automation Congress (CAC), 2015
  • Type

    conf

  • DOI
    10.1109/CAC.2015.7382618
  • Filename
    7382618