• DocumentCode
    648393
  • Title

    Managing critical transmission infrastructure with advanced analytics and smart sensors

  • Author

    Qun Qiu ; Fleeman, Jeffrey A. ; Ball, D.R. ; Rackliffe, Gary ; Hou, Junhui ; Cheim, Luiz

  • Author_Institution
    American Electr. Power, Gahanna, OH, USA
  • fYear
    2013
  • fDate
    21-25 July 2013
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    As one of the largest electric utilities in the United States, American Electric Power (AEP) has a mission to operate its critical transmission infrastructure with a high level of availability and to achieve operational excellence. AEP is implementing an Asset Health Solution which will provide asset health situational awareness and actionable information based on data collected from smart sensors placed in the network. The objective of AEP´s Asset Health Solution is to apply existing operational data, real-time sensor data, advanced engineering analytics and forward looking business intelligence to establish a commanding view of AEP´s transmission system performance. The uniqueness of AEP´s approach is to address the system asset health requirement as an end-to-end process using a systematic and holistic approach. This approach leverages AEP engineering knowledge and operational performance experience which is strengthened with the equipment and technical expertise, service experience, and business intelligence of its technology partner.
  • Keywords
    condition monitoring; intelligent sensors; power transmission reliability; AEP transmission system performance; American Electric Power; advanced engineering analytics; asset health situational awareness; asset health solution; condition monitoring; critical transmission infrastructure; forward looking business intelligence; predictive maintenance; real-time sensor data; smart sensor; Aging; Business; Intelligent sensors; Maintenance engineering; Monitoring; Temperature measurement; Temperature sensors; analytical models; asset management; condition monitoring; predictive maintenance; smart grids;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power and Energy Society General Meeting (PES), 2013 IEEE
  • Conference_Location
    Vancouver, BC
  • ISSN
    1944-9925
  • Type

    conf

  • DOI
    10.1109/PESMG.2013.6672972
  • Filename
    6672972