• DocumentCode
    1860638
  • Title

    Condition Monitoring of an Induction Machine using a Stochastic Search Technique

  • Author

    Zakaria, K.P. ; Acarnleyt8, P.P. ; Zahawi, Bashar

  • Author_Institution
    Power Electronics, Drives and Machines Group, School of EECE, University of Newcastle upon Tyne, UK. k.p.zakaria@ncl.ac.uk
  • fYear
    2006
  • fDate
    4-6 April 2006
  • Firstpage
    42
  • Lastpage
    46
  • Abstract
    This paper describes the principles of a new technique for electrical condition monitoring of the stator and rotor circuits in an induction machine. Using time-domain terminal voltages and currents with rotor position data, a stochastic search technique (simulated annealing) is able to confirm that the machine windings are healthy, or indicate that there is a fault and provide information about the location and nature of the fault. The technique is demonstrated using experimental data from a laboratory machine with both armature and secondary winding faults.
  • Keywords
    condition monitoring; induction machine;
  • fLanguage
    English
  • Publisher
    iet
  • Conference_Titel
    Power Electronics, Machines and Drives, 2006. The 3rd IET International Conference on
  • Conference_Location
    The Contarf Castle, Dublin, Ireland
  • Print_ISBN
    0-86341-609-8
  • Type

    conf

  • Filename
    4123483