• DocumentCode
    645771
  • Title

    Component reliability evaluation in the presence of smart monitoring

  • Author

    Heidari-Kapourchali, Mohammad ; Aravinthan, Visvakumar

  • Author_Institution
    Dept. of Electr. Eng. & Comput. Sci., Wichita State Univ., Wichita, KS, USA
  • fYear
    2013
  • fDate
    22-24 Sept. 2013
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    Smart sensors and monitoring technologies are beginning to penetrate different levels of the power system. In a smart grid scenario, the operational condition of components needs to be reported to the control center, in order to improve the remedial action for an ailing component. This will significantly reduce the component failure rate and improve reliability of the entire system. This paper proposes a Markov model to quantify the reliability of a component in the presence of smart monitoring. A mathematical formulation based on the absorbing state concept is used to calculate the failure rate of the monitored component. A numerical analysis is performed to evaluate the impact of some parameters on the failure rate of the monitored component.
  • Keywords
    Markov processes; intelligent sensors; numerical analysis; power system measurement; power system reliability; smart power grids; Markov model; absorbing state concept; component failure rate; component reliability evaluation; smart grid; smart monitoring; smart sensors; system reliability; Intelligent sensors; Maintenance engineering; Markov processes; Monitoring; Power system reliability; Real-time systems; Reliability;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    North American Power Symposium (NAPS), 2013
  • Conference_Location
    Manhattan, KS
  • Type

    conf

  • DOI
    10.1109/NAPS.2013.6666922
  • Filename
    6666922