• DocumentCode
    2985307
  • Title

    Investigation on the Extended Angular-Velocity Vold-Kalman Order Tracking

  • Author

    Pan, Min-Chun ; Wu, Cheng-Xue

  • Author_Institution
    Dept. of Mech. Eng., Nat. Central Univ., Taoyuan
  • fYear
    2006
  • fDate
    Aug. 2006
  • Firstpage
    770
  • Lastpage
    775
  • Abstract
    Dynamic signals acquired from rotary machines can be characterized by the order tracking (OT) techniques. The extracted order components correspond to the operation of specific machine elements, and reflect their current healthy or faulty states. The study extends the angular-velocity Vold-Kalman OT scheme to simultaneously extract multiple order components. Theoretical derivation is illustrated with simulation of processing two synthetic signals to show its merit. Additionally, as an example to validate the effectiveness, the developed OT scheme is used to rank pass-by noise emitted from an electric scooter with CVT transmission system
  • Keywords
    Kalman filters; machinery; matrix algebra; signal processing; tracking; dynamic signals; electric scooter; extended angular-velocity Vold-Kalman order tracking; multiple order components extraction; rotary machines; Cities and towns; Data mining; Differential equations; Filters; Frequency; Information technology; Mechanical engineering; Motorcycles; Shafts; Signal processing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal Processing and Information Technology, 2006 IEEE International Symposium on
  • Conference_Location
    Vancouver, BC
  • Print_ISBN
    0-7803-9753-3
  • Electronic_ISBN
    0-7803-9754-1
  • Type

    conf

  • DOI
    10.1109/ISSPIT.2006.270902
  • Filename
    4042344