• DocumentCode
    2273016
  • Title

    Stator Current-Based Bearing Fault Detection Techniques: A General Review

  • Author

    Zhou, Wei ; Habetler, Thomas G. ; Harley, Ronald G.

  • Author_Institution
    Georgia Inst. of Stator Technol. Atlanta, Atlanta
  • fYear
    2007
  • fDate
    6-8 Sept. 2007
  • Firstpage
    7
  • Lastpage
    10
  • Abstract
    Compared to conventional monitoring techniques such as vibration monitoring or temperature monitoring, stator current-based monitoring offers significant economic savings and implementation advantages. Consequently, stator current-based bearing fault detection has received more and more attention in research. Further more, according to a recent study, bearing faults can be categorized into two classes: single-point defects and generalized roughness. In this paper, the representative stator current-based bearing fault detection techniques are reviewed under this classification, in an attempt to provide a brief overview of the research in this area.
  • Keywords
    fault diagnosis; machine bearings; monitoring; stators; economic savings; monitoring techniques; single-point defects; stator current-based bearing fault detection; temperature monitoring; vibration monitoring; Condition monitoring; Electrical fault detection; Fault detection; Fault diagnosis; Frequency; Protection; Remote monitoring; Stators; Temperature measurement; Temperature sensors; bearing fault detection; motor current signature analysis (MCSA); sensorless;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Diagnostics for Electric Machines, Power Electronics and Drives, 2007. SDEMPED 2007. IEEE International Symposium on
  • Conference_Location
    Cracow
  • Print_ISBN
    978-1-4244-1061-3
  • Electronic_ISBN
    978-1-4244-1062-0
  • Type

    conf

  • DOI
    10.1109/DEMPED.2007.4393063
  • Filename
    4393063