• DocumentCode
    2098924
  • Title

    Diagnostics and prognostics for multiple induction machines using a single set of current transducers

  • Author

    Parikh, Prayag K. ; Cox, Robert W. ; Sawyer, Rebecca L. ; Shrestha, Arun ; Anderson, Jason M.

  • Author_Institution
    Dept. of Electr. & Comput. Eng., UNC Charlotte, Charlotte, NC
  • fYear
    2009
  • fDate
    3-6 May 2009
  • Firstpage
    1153
  • Lastpage
    1160
  • Abstract
    This paper describes a field-tested technique that uses aggregate current measurements to detect faults in multiple induction machines. This new approach reduces costs and potentially increases reliability. The paper begins with a description of the field-tested system. It then describes three analytical techniques that have been applied to aggregate data in order to identify faults. The paper uses specific examples taken from applications in power plants and shipboard environments.
  • Keywords
    asynchronous machines; condition monitoring; electric current measurement; fault diagnosis; power plants; NILM; aggregate current measurements; condition monitoring; current transducers; machine fault; multiple induction machines; nonintrusive load monitor; power plants; shipboard environment; Aggregates; Computerized monitoring; Condition monitoring; Costs; Current measurement; Fault detection; Induction machines; Industrial plants; Power generation; Transducers;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electric Machines and Drives Conference, 2009. IEMDC '09. IEEE International
  • Conference_Location
    Miami, FL
  • Print_ISBN
    978-1-4244-4251-5
  • Electronic_ISBN
    978-1-4244-4252-2
  • Type

    conf

  • DOI
    10.1109/IEMDC.2009.5075349
  • Filename
    5075349