• DocumentCode
    1412241
  • Title

    Thermal Models for Online Detection of Pulp Obstructing the Cooling System of TEFC Induction Motors in Pulp Area

  • Author

    Valenzuela, M. Aníbal ; Ramírez, Guillermo

  • Author_Institution
    Dept. of Electr. Eng., Univ. of Concepcion, Concepción, Chile
  • Volume
    47
  • Issue
    2
  • fYear
    2011
  • Firstpage
    719
  • Lastpage
    729
  • Abstract
    The cooling system of unregulated self-ventilated motors operating in the pulp area can be severely deteriorated by pulp fibers deposited in the motor frame and in the air intake area. As a result, these motors can become overheated even with operating currents below the rated current. This paper presents and evaluates three thermal models that are capable of detecting the effect of the pulp in the dissipation of the operating losses to the ambient. One model is a simple third-order model, whose frame-to-ambient resistance is affected by the presence of pulp partially blocking the air inlet. The other two models recognize the asymmetrical dissipation produced by the pulp coating the upper sector of the motor frame by defining flow paths for the different radial quarters of the motor. Through an extensive testing program, the effects of the different pulp situations on the quarter and/or equivalent thermal resistances are determined. Using these values, the temperature rises in the spot of interest using the proposed models are evaluated, showing excellent agreement with the experimental values. Finally, the different options for the use of the models for motors with and/or without temperature sensors are analyzed.
  • Keywords
    cooling; induction motors; thermal resistance; TEFC induction motors; cooling system; online detection; pulp area; pulp fibers; thermal models; thermal resistance; unregulated self-ventilated motors; Self-ventilated motors; thermal models; thermal protection;
  • fLanguage
    English
  • Journal_Title
    Industry Applications, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0093-9994
  • Type

    jour

  • DOI
    10.1109/TIA.2010.2102328
  • Filename
    5675674