• DocumentCode
    2927727
  • Title

    Multiple signature analysis for the detection of bearing currents and the assessment of the resulting bearing wear

  • Author

    Tischmacher, H. ; Gattermann, S.

  • Author_Institution
    Drive Technol., Large Drives, Siemens AG, Nuremberg, Germany
  • fYear
    2012
  • fDate
    20-22 June 2012
  • Firstpage
    1354
  • Lastpage
    1359
  • Abstract
    This paper deals with the early detection and monitoring of possible bearing damage of variable-speed, converter-fed electric motors. After a brief description about the issue of bearing currents in converter-fed drives, the main subject will be outlined with the focus on practical experience. A measurement systemology is used for this purpose, where the electrical measurement of bearing current events as well as the mechanical measurement of the vibration status of the bearing is taken into account. A comparison between different vibration measurement methods leads to a systemology, which allows to detect possible changes in the motor bearing in a very early state of operation.
  • Keywords
    electric drives; electric motors; electric variables measurement; machine bearings; power convertors; vibration measurement; wear; bearing currents detection; bearing wear assessment; converter-fed drives; converter-fed electric motors; electrical measurement; measurement systemology; mechanical measurement; motor bearing; multiple signature analysis; systemology; variable-speed bearing damage; vibration measurement methods; vibration status; Acceleration; Current measurement; Degradation; Histograms; Time frequency analysis; Vibration measurement; Vibrations; Ball bearings; electrostatic discharge; variable-speed drives; vibration measurement;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power Electronics, Electrical Drives, Automation and Motion (SPEEDAM), 2012 International Symposium on
  • Conference_Location
    Sorrento
  • Print_ISBN
    978-1-4673-1299-8
  • Type

    conf

  • DOI
    10.1109/SPEEDAM.2012.6264380
  • Filename
    6264380