IDEAS home Printed from https://ideas.repec.org/a/sae/intdis/v4y2008i3p247-261.html
   My bibliography  Save this article

Sensor Fusion in Integrated Circuit Fault Diagnosis Using a Belief Function Model

Author

Listed:
  • Daqi Zhu
  • Wei Gu

Abstract

In this paper, a multi-senor information fusion method based on the D-S (Dempster-Shafer) evidence theory is presented for fault diagnosis in an integrated circuit. By measuring the temperature and voltages of circuit components, the fault belief function assignment of two sensors to circuit components is calculated, and the fusion fault belief function assignment is obtained by using the D-S evidence theory. Then the actual fault component is precisely found according to the fusion data. Comparing the diagnosis results based on separate original data with the ones based on D-S theory fusion method, it is shown that the D-S information fusion fault diagnosis method is more accurate. Finally, two fault diagnosis examples of the simple signal magnification circuit and the integrated circuit of industrial case are given.

Suggested Citation

  • Daqi Zhu & Wei Gu, 2008. "Sensor Fusion in Integrated Circuit Fault Diagnosis Using a Belief Function Model," International Journal of Distributed Sensor Networks, , vol. 4(3), pages 247-261, July.
    • Handle: RePEc:sae:intdis:v:4:y:2008:i:3:p:247-261
    DOI: 10.1080/15501320701260626
    as

    Download full text from publisher

    File URL: https://journals.sagepub.com/doi/10.1080/15501320701260626
    Download Restriction: no
    File URL: https://libkey.io/10.1080/15501320701260626?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
    ---><---

    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:sae:intdis:v:4:y:2008:i:3:p:247-261. 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: SAGE Publications (email available below). General contact details of provider: .

    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.