• DocumentCode
    2612714
  • Title

    Intelligent motors moving to the forefront of predictive maintenance

  • Author

    O´Kane, M.M.

  • Author_Institution
    US Electr. Motors, St. Louis, MO
  • fYear
    2000
  • fDate
    2000
  • Firstpage
    217
  • Lastpage
    223
  • Abstract
    This paper presents the technological advancements of embedded sensors and microprocessors into AC induction motors and their ability to predict failure. Today, maintenance departments utilize several stand-alone technologies to detect and predict motor failure such as vibration and flux analysis. Intelligent motors now integrate multiple technologies that enable continuous monitoring of critical motor components as well as operating conditions. In today´s global economy, the need to increase profitability while decreasing operating expenses sets the stage for the emergence of intelligent motors
  • Keywords
    computerised monitoring; electric machine analysis computing; failure analysis; induction motors; intelligent sensors; maintenance engineering; microcomputer applications; vibration measurement; AC induction motors; continuous monitoring; critical motor components monitoring; diagnostics software; embedded microprocessors; embedded sensors; failure prediction; flux analysis; global economy; hazardous events; intelligent motors; operating conditions; predictive maintenance; profitability increase; reliability based maintenance; vibration analysis; AC motors; Condition monitoring; Failure analysis; Induction motors; Intelligent sensors; Microprocessors; Predictive maintenance; Profitability; Reliability theory; Thermal stresses;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Petroleum and Chemical Industry Conference, 2000. Record of Conference Papers. Industry Applications Society 47th Annual
  • Conference_Location
    San Antonio, TX
  • ISSN
    0090-3507
  • Print_ISBN
    0-7803-6334-5
  • Type

    conf

  • DOI
    10.1109/PCICON.2000.882778
  • Filename
    882778