• DocumentCode
    601667
  • Title

    Reliability assessment of energy conversion components in geographically distributed power grid through a modern communication network

  • Author

    Seungdeog Choi ; Bahrami, Hamid Reza ; Akin, Bilal

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Univ. of Akron, Akron, OH, USA
  • fYear
    2013
  • fDate
    17-21 March 2013
  • Firstpage
    1164
  • Lastpage
    1169
  • Abstract
    This paper presents fault diagnosis of electric motors for geographically-distributed power grid systems. With the advancement of modern communication tools in industry, the power electronics and energy system have been efficiently monitored and reliably controlled through the information technology (IT) networks. Among those, remote monitoring in real-time requires large communication bandwidth as the signal acquisition device in drive system commonly adopts high resolution analogue to digital converters (ADCs). This paper presents an efficient transmission of the acquired signal for remote motor current signature analysis (MCSA) diagnosis purpose. It is proven that the proposed diagnosis scheme provides high enough accuracy and low signal bandwidth in implementation.
  • Keywords
    analogue-digital conversion; fault diagnosis; motor drives; power electronics; power grids; power system reliability; telecommunication networks; ADC; IT networks; MCSA diagnosis; communication network; drive system; electric motors; energy conversion components; energy system; fault diagnosis; geographically-distributed power grid systems; high resolution analogue-to-digital converters; information technology networks; low signal bandwidth; power electronics; reliability assessment; remote monitoring; remote motor current signature analysis diagnosis; signal acquisition device; communication system; diagnosis; electric motor;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Applied Power Electronics Conference and Exposition (APEC), 2013 Twenty-Eighth Annual IEEE
  • Conference_Location
    Long Beach, CA
  • ISSN
    1048-2334
  • Print_ISBN
    978-1-4673-4354-1
  • Electronic_ISBN
    1048-2334
  • Type

    conf

  • DOI
    10.1109/APEC.2013.6520446
  • Filename
    6520446