IDEAS home Printed from https://ideas.repec.org/a/hin/jnlmpe/6069784.html
   My bibliography  Save this article

Calculation of a Health Index of Oil-Paper Transformers Insulation with Binary Logistic Regression

Author

Listed:
  • Weijie Zuo
  • Haiwen Yuan
  • Yuwei Shang
  • Yingyi Liu
  • Tao Chen

Abstract

This paper presents a new method for calculating the insulation health index (HI) of oil-paper transformers rated under 110 kV to provide a snapshot of health condition using binary logistic regression. Oil breakdown voltage (BDV), total acidity of oil, 2-Furfuraldehyde content, and dissolved gas analysis (DGA) are singled out in this method as the input data for determining HI. A sample of transformers is used to test the proposed method. The results are compared with the results calculated for the same set of transformers using fuzzy logic. The comparison results show that the proposed method is reliable and effective in evaluating transformer health condition.

Suggested Citation

  • Weijie Zuo & Haiwen Yuan & Yuwei Shang & Yingyi Liu & Tao Chen, 2016. "Calculation of a Health Index of Oil-Paper Transformers Insulation with Binary Logistic Regression," Mathematical Problems in Engineering, Hindawi, vol. 2016, pages 1-9, June.
    • Handle: RePEc:hin:jnlmpe:6069784
    DOI: 10.1155/2016/6069784
    as

    Download full text from publisher

    File URL: http://downloads.hindawi.com/journals/MPE/2016/6069784.pdf
    Download Restriction: no
    File URL: http://downloads.hindawi.com/journals/MPE/2016/6069784.xml
    Download Restriction: no
    File URL: https://libkey.io/10.1155/2016/6069784?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:6069784. 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.