• Title of article

    A Comprehensive Method for Detection of Induction Motors Bearing Faults

  • Author/Authors

    Hoseini, Javad Iran University of Science and Technology, Iran , Mosavi Gazafroudi, Mohammad School of Railway Engineering - Iran University of Science and Technology, Iran

  • Pages
    11
  • From page
    48
  • To page
    58
  • Abstract
    In this paper, some deficiencies of previously conducted studies are pointed out. These are including unreliability, dependent to motor and bearing specifications, lack of precision, drawbacks of experimental tests and etc. Here some important works will be reviewed. The proposed method which is based on wavelet decomposition and tracing the trend of statistical features variations, has overcame most of these deficiencies. Experimental results validated the proposed method. Finally, an approach to enhance detectability and precision in realistic industrial applications which is based on comparing power factor and temperature of tested and industrial application cases, will be presented.
  • Keywords
    wavelet decomposition , distributed defect (DD) , single point defect (SD) , mechanical fault , trend of variation
  • Journal title
    Astroparticle Physics
  • Serial Year
    2014
  • Record number

    2469974