• DocumentCode
    2649104
  • Title

    A comparison between two conventional order tracking techniques in rotating machine diagnostics

  • Author

    Wang, Kesheng ; Heyns, Philippus Stephanus

  • Author_Institution
    Sch. of Mechatron. Eng., Univ. of Electron. Sci. & Technol. of China, Chengdu, China
  • fYear
    2011
  • fDate
    17-19 June 2011
  • Firstpage
    478
  • Lastpage
    481
  • Abstract
    Conventional rotating machine vibration monitoring techniques are based on the assumption that changes in the measured structural response are caused by deterioration in the condition of the rotating machine. However, due to variations of the rotational speed, the measured signal many be non-stationary and difficult to interpret. For this reason, the order tracking technique is introduced to identify non-stationary vibration data and to a large extent exclude the influences of varying rotational speed. In recent years, different order tracking techniques have been developed in the context of condition monitoring rotating machines. Each of these techniques has their own pros and cons in analyzing rotating machinery vibration signals. This, however, presents difficulties for the analyst in choosing and applying proper order tracking methods. In this paper, two widely researched order tracking techniques, computed order tracking and Vold-Kalman filter order tracking, are extensively discussed and compared in their abilities and limitations which include the form of the results, issues with respect to practical application procedures, computational effort, etc. The paper is useful for the selection of appropriate order tracking methods and efficient application of the techniques in rotating machine fault diagnostics.
  • Keywords
    Kalman filters; condition monitoring; fault diagnosis; filtering theory; mechanical engineering computing; turbomachinery; vibrations; Vold-Kalman filter order tracking; computational effort; computed order tracking; conventional order tracking techniques; nonstationary vibration data; order tracking methods; rotating machine condition monitoring; rotating machine fault diagnostics; rotating machine vibration monitoring techniques; rotating machinery vibration signals; rotational speed; structural response; Equations; Interpolation; Mathematical model; Rotating machines; Shafts; Velocity control; Vibrations; computed order tracking; order tracking; rotating machine diagnostics; vold-kalman filter order tracking;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Quality, Reliability, Risk, Maintenance, and Safety Engineering (ICQR2MSE), 2011 International Conference on
  • Conference_Location
    Xi´an
  • Print_ISBN
    978-1-4577-1229-6
  • Type

    conf

  • DOI
    10.1109/ICQR2MSE.2011.5976657
  • Filename
    5976657