• DocumentCode
    1633259
  • Title

    Gear fault signal modeling and detection based on alpha stable distribution

  • Author

    Yu, Gang ; Shi, Ningning

  • Author_Institution
    Shenzhen Key Lab. of Digital Manuf., Technol., Harbin Inst. of Technol. (HIT) Shenzhen, Shenzhen, China
  • Volume
    2
  • fYear
    2012
  • Firstpage
    471
  • Lastpage
    474
  • Abstract
    Due to limited information given by traditional local statistics, a new statistical modeling method for gear fault signals is proposed based on alpha-stable distribution. In order to fully take advantages of complete information provided by alpha-stable distribution, this paper focuses on testing the validity of the proposed statistical model. In the meantime, a new gear fault detection method based on an integrated parameter of alpha-stable model is proposed, which has shown better prospects than that based on traditional kurtosis.
  • Keywords
    condition monitoring; electric machines; fault diagnosis; gears; maintenance engineering; signal processing; statistical analysis; alpha stable distribution; fault detection; gear fault signal modeling; statistical modeling method; Demodulation; Educational institutions; Fault detection; Fourier series; Gears; Vibrations; Statistical modeling; alpha-stable distribution; gear fault; kurtosis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Instrumentation & Measurement, Sensor Network and Automation (IMSNA), 2012 International Symposium on
  • Conference_Location
    Sanya
  • Print_ISBN
    978-1-4673-2465-6
  • Type

    conf

  • DOI
    10.1109/MSNA.2012.6324624
  • Filename
    6324624