IDEAS home Printed from https://ideas.repec.org/a/hin/jnlmpe/831075.html
   My bibliography  Save this article

Methods of Fault Diagnosis in Fiber Optic Current Transducer Based on Allan Variance

Author

Listed:
  • Lihui Wang
  • Gang Chen
  • Jianfei Ji
  • Jian Sun
  • Jiabin Qian
  • Xixiang Liu

Abstract

To ensure low failure and high reliability of fiber optic current transducers (FOCTs), it is urgent to study methods of condition monitoring and fault diagnosis in FOCT. Faults in FOCT have statistical characteristics. With the analyzing of time domain and frequency domain features in fiber optic current transformers’ measurement data, we establish correspondence between the physical characteristics of key components in transformer and data features and then build diagnostic analysis model based on Allan variance. According to the Allan variance calculation results, we can diagnose fiber optic current transformer’s health state and realize faults location. Experiment results show that diagnostic methods based on Allan variance are accurate and effective to identify fault features.

Suggested Citation

  • Lihui Wang & Gang Chen & Jianfei Ji & Jian Sun & Jiabin Qian & Xixiang Liu, 2014. "Methods of Fault Diagnosis in Fiber Optic Current Transducer Based on Allan Variance," Mathematical Problems in Engineering, Hindawi, vol. 2014, pages 1-6, June.
  • Handle: RePEc:hin:jnlmpe:831075
    DOI: 10.1155/2014/831075
    as

    Download full text from publisher

    File URL: http://downloads.hindawi.com/journals/MPE/2014/831075.pdf
    Download Restriction: no

    File URL: http://downloads.hindawi.com/journals/MPE/2014/831075.xml
    Download Restriction: no

    File URL: https://libkey.io/10.1155/2014/831075?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:831075. 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.