• DocumentCode
    530853
  • Title

    A new spectrum distance function to monitor machine condition

  • Author

    Sun, Jianming

  • Author_Institution
    Coll. of Econ. & Adm., China Jiliang Univ., Hangzhou, China
  • Volume
    1
  • fYear
    2010
  • fDate
    24-26 Aug. 2010
  • Firstpage
    316
  • Lastpage
    318
  • Abstract
    This paper proposes a new distance function - power spectral density divergence to monitor machine condition .The distance function carries full information of time series model ARMA (m, n). The calculating example shows that it is more sensitive than I-divergence, J-divergence, and Bhattcharyya information distance to the changes of machine conditions.
  • Keywords
    condition monitoring; machinery; signal processing; time series; vibrations; Bhattcharyya information distance; machine condition monitoring; spectrum distance function; time series model; time series signal; vibration signal; distance; machine condition; monitor; power spectral density divergence; time series;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer, Mechatronics, Control and Electronic Engineering (CMCE), 2010 International Conference on
  • Conference_Location
    Changchun
  • Print_ISBN
    978-1-4244-7957-3
  • Type

    conf

  • DOI
    10.1109/CMCE.2010.5610500
  • Filename
    5610500
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=530853