• DocumentCode
    615244
  • Title

    Overhead line monitoring model based on the long-distance transmission network

  • Author

    Ouyan Jiankun ; Zhou Churui

  • Author_Institution
    Sch. of Automationl, Wuhan Univ. of Technol., Wuhan, China
  • fYear
    2013
  • fDate
    26-28 April 2013
  • Firstpage
    76
  • Lastpage
    79
  • Abstract
    High-voltage overhead lines are mostly located in remote regions in China. This monitoring and inspection of overhead line fault diagnosis maintenance work has caused great difficulty. This article has designed a monitoring model for rising of overhead line fault-monitoring in real time. Overhead line is divided into a number of small by the model, each overhead line installed on the testing equipment, the use of GPRS network for remote transmission of these data to detect remote monitoring platform. Remote monitoring platform receives data through an internal Ethernet distribute data to each monitoring station network. Monitoring platform uses neural network theory analysis of the data received and to arrive at a diagnosis and ultimately provide diagnostic results to the relevant maintenance inspection department. The text proves the reliability and validity of the model theoretically.
  • Keywords
    condition monitoring; fault diagnosis; inspection; local area networks; maintenance engineering; neural nets; packet radio networks; power engineering computing; power overhead lines; power transmission reliability; China; Ethernet; GPRS network; high-voltage overhead lines; long-distance transmission network; maintenance inspection department; monitoring platform; monitoring station network; neural network theory analysis; overhead line fault diagnosis maintenance inspection; overhead line fault diagnosis maintenance monitoring; overhead line monitoring model; reliability; remote monitoring platform; remote transmission; testing equipment; Computer network reliability; Computers; Monitoring; Receivers; Reliability; fault detection; neural network; overhead line; remote monitoring;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Science & Education (ICCSE), 2013 8th International Conference on
  • Conference_Location
    Colombo
  • Print_ISBN
    978-1-4673-4464-7
  • Type

    conf

  • DOI
    10.1109/ICCSE.2013.6553887
  • Filename
    6553887