• DocumentCode
    3089504
  • Title

    Design of stray loss test system for three-phase asynchronous motor

  • Author

    Li, Mu ; Zhen-Zhou Wang ; Liu, Peng ; Liu, Jiao-min ; Wang, Zhen-zhou

  • Author_Institution
    Editorial Dept., Hebei Univ. of Sci. & Technol., Shijiazhuang, China
  • Volume
    5
  • fYear
    2009
  • fDate
    12-15 July 2009
  • Firstpage
    2517
  • Lastpage
    2521
  • Abstract
    Asynchronous motor is widely used in every field and department of people´s daily life and in industry and agriculture. Electricity consumption of asynchronous motor is the main asynchronous motor. Now the whole society is calling for energy-saving and environment-protection. It is important to improve AC motor´s energy efficiency level for energy-saving, environment-protection and fund-saving. The manual computation of stray load loss in electric motor is very complex and has low precision so the stray load loss test system for three-phase asynchronous motor was designed. It discussed the application of linear regression analysis method in stray loss analysis in detail, and the computation was implemented by MATLAB, and a DLL was generated, last the VC program does data acquisition and calls the DLL to fulfill computation.
  • Keywords
    data acquisition; induction motors; regression analysis; AC motor energy efficiency level; DLL; MATLAB; VC program; data acquisition; electric motor; electricity consumption; energy-saving; environment-protection; fund-saving; linear regression analysis method; manual computation; stray loss test system design; three-phase asynchronous motor; AC motors; Agriculture; Data acquisition; Electric motors; Energy consumption; Energy efficiency; Linear regression; MATLAB; System testing; Virtual colonoscopy; Asynchronous motor; MATLAB; Regression analysis; Stray loss; Test system;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Machine Learning and Cybernetics, 2009 International Conference on
  • Conference_Location
    Baoding
  • Print_ISBN
    978-1-4244-3702-3
  • Electronic_ISBN
    978-1-4244-3703-0
  • Type

    conf

  • DOI
    10.1109/ICMLC.2009.5212111
  • Filename
    5212111