IDEAS home Printed from https://ideas.repec.org/a/ids/ijmtma/v12y2007i1-2-3p171-183.html
   My bibliography  Save this article

Development of a dressing monitoring system through artificial intelligence and acoustic maps for high performance grinding

Author

Listed:
  • J.F.G. Oliveira
  • A.P.S. Braga
  • A.C.P.L.F. Carvalho

Abstract

High performance grinding implies in reliable monitoring at high speeds. In this paper, the development of a dressing monitoring system based on Artificial Intelligence (AI) is discussed. Different from previous works that adopt AI to classify Acoustic Emission (AE) measurements in grinding operations, the proposed approach is less sensitive to noise. The results point out to increases in production velocity and quality. Simulated tests indicate to the high performance of the monitoring even in noise conditions.

Suggested Citation

  • J.F.G. Oliveira & A.P.S. Braga & A.C.P.L.F. Carvalho, 2007. "Development of a dressing monitoring system through artificial intelligence and acoustic maps for high performance grinding," International Journal of Manufacturing Technology and Management, Inderscience Enterprises Ltd, vol. 12(1/2/3), pages 171-183.
    • Handle: RePEc:ids:ijmtma:v:12:y:2007:i:1/2/3:p:171-183
    as

    Download full text from publisher

    File URL: http://www.inderscience.com/link.php?id=14148
    Download Restriction: Access to full text is restricted to subscribers.
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    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:ids:ijmtma:v:12:y:2007:i:1/2/3:p:171-183. 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: Sarah Parker (email available below). General contact details of provider: http://www.inderscience.com/browse/index.php?journalID=21 .

    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.