• DocumentCode
    3774564
  • Title

    Real time condition monitoring system for industrial motors

  • Author

    S. S. Goundar;M. R. Pillai;K. A. Mamun;F. R. Islam;R. Deo

  • Author_Institution
    School of Engineering and Physics, Faculty of Science, Technology and Environment, The University of the South Pacific Suva, Fiji
  • fYear
    2015
  • Firstpage
    1
  • Lastpage
    9
  • Abstract
    In generally, predictive maintenance of induction motors is well suited for small to larger scale industries in order to reduce downtime, increase efficiency and reliability. In this paper, the vibration and temperature of the induction motor is analyzed in order to gather specific information that can predict motor´s bearing failure. Well analyzed vibration signal easily shows the difference between the running operation of the healthy and faulty motor. Using IoT, this paper shows Real Time Condition Monitoring System for Industrial Motors.
  • Keywords
    "Induction motors","Temperature sensors","Vibrations","DC motors","Temperature measurement"
  • Publisher
    ieee
  • Conference_Titel
    Computer Science and Engineering (APWC on CSE), 2015 2nd Asia-Pacific World Congress on
  • Type

    conf

  • DOI
    10.1109/APWCCSE.2015.7476232
  • Filename
    7476232