IDEAS home Printed from https://ideas.repec.org/a/hin/jnlmpe/3241897.html
   My bibliography  Save this article

A Real-Time Reliable Condition Assessment System for 500kV Transmission Towers Based on Stress Measurement

Author

Listed:
  • Zhi-xiong Liu
  • Xiao-bo Feng

Abstract

Transmission power towers play an important role in power delivery systems. In recent years, some important results on reliability of transmission towers have been obtained based on theoretical analysis, but there are very few practical application systems of real-time condition monitoring. This paper proposes a new real-time reliable condition assessment system for 500kV transmission power towers based on stress measurement. The necessity of such systems and the architecture of the online monitoring system will first be presented. Through calculating the stress distribution condition of different components of the transmission tower under typical working conditions, those positions with relatively high failure probability in the transmission tower can be identified monitored for installing the stress sensors on them. A new method is presented for calculating the reliability index of the transmission tower structure is also developed based on the mechanical structure of the tower. In particular, the tower structure is simplified to a series system, and the Ditlevsen’s bounds is used to estimate the reliability of the tower system. Finally, a designed example for the online reliable condition assessment procedure is given using a 500kV oxytropis tower as an illustration.

Suggested Citation

  • Zhi-xiong Liu & Xiao-bo Feng, 2019. "A Real-Time Reliable Condition Assessment System for 500kV Transmission Towers Based on Stress Measurement," Mathematical Problems in Engineering, Hindawi, vol. 2019, pages 1-8, January.
    • Handle: RePEc:hin:jnlmpe:3241897
    DOI: 10.1155/2019/3241897
    as

    Download full text from publisher

    File URL: http://downloads.hindawi.com/journals/MPE/2019/3241897.pdf
    Download Restriction: no
    File URL: http://downloads.hindawi.com/journals/MPE/2019/3241897.xml
    Download Restriction: no
    File URL: https://libkey.io/10.1155/2019/3241897?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:hin:jnlmpe:3241897. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Mohamed Abdelhakeem (email available below). General contact details of provider: https://www.hindawi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.