• DocumentCode
    150312
  • Title

    Analysis of non-intrusive efficiency estimation of induction machines compared to the IEEE 112B and IEC 34-2-1 standards

  • Author

    Gajjar, C.S. ; Khan, Muhammad Asad ; Barendse, Paul

  • Author_Institution
    Dept. of Electr. Eng., Univ. of Cape Town, Cape Town, South Africa
  • fYear
    2014
  • fDate
    14-18 Sept. 2014
  • Firstpage
    294
  • Lastpage
    301
  • Abstract
    International efficiency testing methods such as the IEEE 112-B and IEC 34-2-1 can determine an induction machine´s efficiency accurately at the cost of hindering the machine´s productivity. Alternatively, various methods used to determine a machine´s efficiency in-situ do so at the cost of accuracy. This paper proposes a method that determines an induction machine´s efficiency over a range of load conditions from tests conducted and centered around one thermally stable load point in the least intrusive manner possible. The results are then compared to IEEE 112-B and IEC 34-2-1 motor testing standards using segregated loss analysis. It was found that despite the proposed algorithm being unable to accurately determine core losses, the efficiency of a machine can be estimated to within 0.01-5.01% and 0.07-3.48% error when compared to the IEEE 112-B and IEC 34-2-1 standards respectively over a 25-150% machine load profile dependent upon the proposed method´s implementations.
  • Keywords
    IEC standards; IEEE standards; asynchronous machines; IEC 34-2-1 motor testing standard; IEEE 112B standard; core loss; induction machine efficiency; international efficiency testing method; load condition; machine efficiency; machine load profile; machine productivity; nonintrusive efficiency estimation analysis; segregated loss analysis; thermally-stable load point; Algorithm design and analysis; Estimation; IEC standards; Induction motors; Rotors; Stators;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Energy Conversion Congress and Exposition (ECCE), 2014 IEEE
  • Conference_Location
    Pittsburgh, PA
  • Type

    conf

  • DOI
    10.1109/ECCE.2014.6953407
  • Filename
    6953407