• DocumentCode
    2469779
  • Title

    Gearbox diagnosis based on cyclic spectral analysis

  • Author

    Feng, Zhipeng ; Zuo, Ming J.

  • Author_Institution
    Sch. of Mech. Eng., Univ. of Sci. & Technol. Beijing, Beijing, China
  • fYear
    2012
  • fDate
    23-25 May 2012
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    With regards to the cyclostationarity of gear vibration, cyclic spectral analysis is used to extract the modulation features of gearbox vibration signals, so as to detect and locate localized gear damage. The cyclic spectral density of amplitude modulation and frequency modulation processes characteristic of gear vibration signals is deduced, and its properties in joint cyclic frequency-frequency domain are summarized. The performance of cyclic spectral analysis in gear fault diagnosis is illustrated by the vibration signal analysis of a gearbox under normal and faulty status. The gear tooth spalling is detected according to the presence of more peaks on the cyclic frequency-frequency plane, and is located according to the location of cyclic spectral peaks.
  • Keywords
    amplitude modulation; condition monitoring; frequency modulation; gears; mechanical engineering computing; signal processing; vibrations; amplitude modulation process; cyclic frequency-frequency domain; cyclic spectral analysis; cyclic spectral peak; frequency modulation process; gear tooth spalling; gear vibration cyclostationarity; gearbox diagnosis; gearbox vibration signal; localized gear damage; vibration signal analysis; Analytical models; Frequency modulation; cyclic spectrum; fault diagnosis; gear; modulation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Prognostics and System Health Management (PHM), 2012 IEEE Conference on
  • Conference_Location
    Beijing
  • ISSN
    2166-563X
  • Print_ISBN
    978-1-4577-1909-7
  • Electronic_ISBN
    2166-563X
  • Type

    conf

  • DOI
    10.1109/PHM.2012.6228868
  • Filename
    6228868