• DocumentCode
    81589
  • Title

    Advanced Motor Monitoring and Diagnostics

  • Author

    Ostojic, Pero ; Banerjee, Adrish ; Patel, Dhaval C. ; Basu, Wrichik ; Ali, Shady

  • Author_Institution
    GE Digital Energy, Markham, ON, Canada
  • Volume
    50
  • Issue
    5
  • fYear
    2014
  • fDate
    Sept.-Oct. 2014
  • Firstpage
    3120
  • Lastpage
    3127
  • Abstract
    Modern motor protection relays are capable of long-term failure monitoring and diagnostics based on information collected by a powerful data acquisition system. This includes predicting lifetime of motors. This paper presents an advanced algorithm capable of performing such tasks. It is applicable to different types of rotating electric machines depending on their design. The components are as follows: stator turn fault detection and rotor bar fault detection. Detection methods are based on calculating the cross-coupled impedance and analyzing the current frequency signature of the motor. The presentation includes a theoretical background, simulated results, and testing results performed on a particular physical model.
  • Keywords
    condition monitoring; electric motors; failure analysis; fault diagnosis; motor protection; relay protection; rotors; stators; advanced motor diagnostics; advanced motor monitoring; cross-coupled impedance; current frequency signature analysis; data acquisition system; long-term failure monitoring; motor lifetime prediction; motor protection relays; rotating electric machines; rotor bar fault detection; stator turn fault detection; Circuit faults; Impedance; Induction motors; Relays; Rotors; Stator windings; Motor diagnostics; rotor bar fault; stator interturn fault;
  • fLanguage
    English
  • Journal_Title
    Industry Applications, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0093-9994
  • Type

    jour

  • DOI
    10.1109/TIA.2014.2303252
  • Filename
    6728624