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    Sensor Placement for Effective Diagnosis of Multiple Faults in Fixturing of Compliant Parts

    Source: Journal of Manufacturing Science and Engineering:;2005:;volume( 127 ):;issue: 001::page 68
    Author:
    Jaime A. Camelio
    ,
    Hyunjune Yim
    ,
    S. Jack Hu
    DOI: 10.1115/1.1828056
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: This paper presents a new sensor placement methodology for effective fault diagnosis in an N-2-1 locating scheme used in compliant sheet metal assembly processes. The proposed approach is based on the effective independence (EfI) sensor placement method. The EfI method is a computational algorithm that starts with all feasible sensor locations and reaches the desired number of locations, by progressively eliminating those having the least contributions to the linearly independent manifestation of the fixture faults. The least squares method was adopted to identify fixture faults from measurement data. An automotive panel part was considered to illustrate the suggested methodology. The sensors placed by the EfI method enable the effective identification of multiple fixture faults even in the presence of moderate measurement noise.
    keyword(s): Sensors , Jigs and fixtures , Patient diagnosis , Sensor placement AND Noise (Sound) ,
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      Sensor Placement for Effective Diagnosis of Multiple Faults in Fixturing of Compliant Parts

    URI
    http://yetl.yabesh.ir/yetl1/handle/yetl/132220
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    contributor authorJaime A. Camelio
    contributor authorHyunjune Yim
    contributor authorS. Jack Hu
    date accessioned2017-05-09T00:17:01Z
    date available2017-05-09T00:17:01Z
    date copyrightFebruary, 2005
    date issued2005
    identifier issn1087-1357
    identifier otherJMSEFK-27849#68_1.pdf
    identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/132220
    description abstractThis paper presents a new sensor placement methodology for effective fault diagnosis in an N-2-1 locating scheme used in compliant sheet metal assembly processes. The proposed approach is based on the effective independence (EfI) sensor placement method. The EfI method is a computational algorithm that starts with all feasible sensor locations and reaches the desired number of locations, by progressively eliminating those having the least contributions to the linearly independent manifestation of the fixture faults. The least squares method was adopted to identify fixture faults from measurement data. An automotive panel part was considered to illustrate the suggested methodology. The sensors placed by the EfI method enable the effective identification of multiple fixture faults even in the presence of moderate measurement noise.
    publisherThe American Society of Mechanical Engineers (ASME)
    titleSensor Placement for Effective Diagnosis of Multiple Faults in Fixturing of Compliant Parts
    typeJournal Paper
    journal volume127
    journal issue1
    journal titleJournal of Manufacturing Science and Engineering
    identifier doi10.1115/1.1828056
    journal fristpage68
    journal lastpage74
    identifier eissn1528-8935
    keywordsSensors
    keywordsJigs and fixtures
    keywordsPatient diagnosis
    keywordsSensor placement AND Noise (Sound)
    treeJournal of Manufacturing Science and Engineering:;2005:;volume( 127 ):;issue: 001
    contenttypeFulltext
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    DSpace software copyright © 2002-2015  DuraSpace
    نرم افزار کتابخانه دیجیتال "دی اسپیس" فارسی شده توسط یابش برای کتابخانه های ایرانی | تماس با یابش
    yabeshDSpacePersian