BRADFORD SCHOLARS

    • Sign in
    View Item 
    •   Bradford Scholars
    • Engineering and Informatics
    • Engineering and Informatics Publications
    • View Item
    •   Bradford Scholars
    • Engineering and Informatics
    • Engineering and Informatics Publications
    • View Item
    JavaScript is disabled for your browser. Some features of this site may not work without it.

    Browse

    All of Bradford ScholarsCommunitiesAuthorsTitlesSubjectsPublication DateThis CollectionAuthorsTitlesSubjectsPublication Date

    My Account

    Sign in

    HELP

    Bradford Scholars FAQsCopyright Fact SheetPolicies Fact SheetDeposit Terms and ConditionsDigital Preservation Policy

    Statistics

    Most Popular ItemsStatistics by CountryMost Popular Authors

    A k-nearest neighbour technique for experience-based adaptation of assembly stations

    • CSV
    • RefMan
    • EndNote
    • BibTex
    • RefWorks
    Thumbnail
    View/Open
    Accepted manuscript (498.1Kb)
    Download
    Publication date
    2014-01
    Author
    Scrimieri, Daniele
    Ratchev, S.M.
    Keyword
    Architectures
    Assembly
    k-nearest neighbour algorithm
    Knowledge-based systems
    Rights
    © 2014 Brazilian Society for Automatics–SBA. This is a post-peer-review, pre-copyedit version of an article published in Journal of Control, Automation and Electrical Systems. The final authenticated version is available online at: https://doi.org/10.1007/s40313-014-0142-6 from Springer website.
    Peer-Reviewed
    Yes
    
    Metadata
    Show full item record
    Abstract
    We present a technique for automatically acquiring operational knowledge on how to adapt assembly systems to new production demands or recover from disruptions. Dealing with changes and disruptions affecting an assembly station is a complex process which requires deep knowledge of the assembly process, the product being assembled and the adopted technologies. Shop-floor operators typically perform a series of adjustments by trial and error until the expected results in terms of performance and quality are achieved. With the proposed approach, such adjustments are captured and their effect on the station is measured. Adaptation knowledge is then derived by generalising from individual cases using a variant of the k-nearest neighbour algorithm. The operator is informed about potential adaptations whenever the station enters a state similar to one contained in the experience base, that is, a state on which adaptation information has been captured. A case study is presented, showing how the technique enables to reduce adaptation times. The general system architecture in which the technique has been implemented is described, including the role of the different software components and their interactions.
    URI
    http://hdl.handle.net/10454/17725
    Version
    Accepted manuscript
    Citation
    Scrimieri D, Ratchev SM (2014) A k-Nearest Neighbour Technique for Experience-Based Adaptation of Assembly Stations. Journal of Control, Automation and Electrical Systems. 25 (6): 679-688.
    Link to publisher’s version
    https://doi.org/10.1007/s40313-014-0142-6
    Type
    Article
    Collections
    Engineering and Informatics Publications

    entitlement

     
    DSpace software (copyright © 2002 - 2022)  DuraSpace
    Quick Guide | Contact Us
    Open Repository is a service operated by 
    Atmire NV
     

    Export search results

    The export option will allow you to export the current search results of the entered query to a file. Different formats are available for download. To export the items, click on the button corresponding with the preferred download format.

    By default, clicking on the export buttons will result in a download of the allowed maximum amount of items.

    To select a subset of the search results, click "Selective Export" button and make a selection of the items you want to export. The amount of items that can be exported at once is similarly restricted as the full export.

    After making a selection, click one of the export format buttons. The amount of items that will be exported is indicated in the bubble next to export format.