IDEAS home Printed from https://ideas.repec.org/a/hin/jnlmpe/547105.html
   My bibliography  Save this article

Transformation Algorithm of Dielectric Response in Time-Frequency Domain

Author

Listed:
  • Ji Liu
  • Daning Zhang
  • Xinlao Wei
  • Hamid Reza Karimi

Abstract

A transformation algorithm of dielectric response from time domain to frequency domain is presented. In order to shorten measuring time of low or ultralow frequency dielectric response characteristics, the transformation algorithm is used in this paper to transform the time domain relaxation current to frequency domain current for calculating the low frequency dielectric dissipation factor. In addition, it is shown from comparing the calculation results with actual test data that there is a coincidence for both results over a wide range of low frequencies. Meanwhile, the time domain test data of depolarization currents in dry and moist pressboards are converted into frequency domain results on the basis of the transformation. The frequency domain curves of complex capacitance and dielectric dissipation factor at the low frequency range are obtained. Test results of polarization and depolarization current (PDC) in pressboards are also given at the different voltage and polarization time. It is demonstrated from the experimental results that polarization and depolarization current are affected significantly by moisture contents of the test pressboards, and the transformation algorithm is effective in ultralow frequency of 10 −3 Hz. Data analysis and interpretation of the test results conclude that analysis of time-frequency domain dielectric response can be used for assessing insulation system in power transformer.

Suggested Citation

  • Ji Liu & Daning Zhang & Xinlao Wei & Hamid Reza Karimi, 2014. "Transformation Algorithm of Dielectric Response in Time-Frequency Domain," Mathematical Problems in Engineering, Hindawi, vol. 2014, pages 1-7, June.
  • Handle: RePEc:hin:jnlmpe:547105
    DOI: 10.1155/2014/547105
    as

    Download full text from publisher

    File URL: http://downloads.hindawi.com/journals/MPE/2014/547105.pdf
    Download Restriction: no

    File URL: http://downloads.hindawi.com/journals/MPE/2014/547105.xml
    Download Restriction: no

    File URL: https://libkey.io/10.1155/2014/547105?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
    ---><---

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Lan Jin & Dowon Kim & Ahmed Abu-Siada & Shantanu Kumar, 2022. "Oil-Immersed Power Transformer Condition Monitoring Methodologies: A Review," Energies, MDPI, vol. 15(9), pages 1-32, May.

    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:547105. 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.