• DocumentCode
    157374
  • Title

    Thermographic technique as a complement for MCSA in induction motor fault detection

  • Author

    Garcia-Ramirez, A.G. ; Morales-Hernandez, L.A. ; Osornio-Rios, R.A. ; Garcia-Perez, A. ; Romero-Troncoso, R.J.

  • Author_Institution
    Mecatronica at Fac. de Ing., Univ. Autonoma de Queretaro, San Juan del Rio, Mexico
  • fYear
    2014
  • fDate
    2-5 Sept. 2014
  • Firstpage
    1940
  • Lastpage
    1945
  • Abstract
    Recently, mechanical condition monitoring in induction motors has become an important research area because of its relevance in different industrial applications. Infrared thermography has been considered for improving the monitoring of induction motors with the advantage of being a non-invasive technique and having a wide range of analysis. In this work, infrared thermography is used as complementary tool for motor current signature analysis (MCSA) under three common mechanical faults: bearing defects, unbalanced mass and misalignment, based on thermographic image segmentation and statistical feature extraction under the segments of interest. Results show the overall performance of the proposed technique as a complement in induction motor monitoring of mechanical faults.
  • Keywords
    condition monitoring; fault diagnosis; feature extraction; image segmentation; induction motors; infrared imaging; MCSA; bearing defects; induction motor fault detection; induction motor monitoring; industrial application; infrared thermography; mechanical condition monitoring; mechanical faults; motor current signature analysis; motor misalignment; noninvasive technique; statistical feature extraction; thermographic image segmentation; thermographic technique; unbalanced mass; Condition monitoring; Educational institutions; Fault diagnosis; Feature extraction; Image segmentation; Induction motors; Steady-state; Induction motors; Infrared imaging; Temperature; Thermal analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electrical Machines (ICEM), 2014 International Conference on
  • Conference_Location
    Berlin
  • Type

    conf

  • DOI
    10.1109/ICELMACH.2014.6960449
  • Filename
    6960449