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    Snake Skeleton Graph: A New Method for Analyzing Signals That Contain Spatial Information

    Source: Journal of Dynamic Systems, Measurement, and Control:;2003:;volume( 125 ):;issue: 003::page 294
    Author:
    Ruxu Du
    ,
    Diana Xu
    ,
    Evangelos Liasi
    ,
    W. Z. Guo
    DOI: 10.1115/1.1590683
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Many modern engineering systems use multiple sensors for monitoring, diagnosis and control. Some of these sensors contain not only time domain and frequency domain information, but also valuable spatial domain information to which little attention has been paid. This paper presents a new method for capturing the spatial characteristics of the sensor signals. The basic idea is to model the spatial information of the signals using a Bézier surface. For example, given m one-dimensional force signals: X1(t),X2(t),[[ellipsis]],Xm(t), at each time instance t, a Bézier surface can be constructed, which describes the distribution of the force. Furthermore, lining up the surfaces at different time t1,t2,[[ellipsis]],tn, will show how the force changes as a function of time. Since the graph looks like a snake skeleton, the new method is called the snake skeleton graph. The paper first describes how the snake skeleton graph is constructed using a demonstration example: a foot walking on a plate. Then it presents an application for fault diagnosis in sheet metal stamping operation. Future research topics are also discussed.
    keyword(s): Force , Sensors , Metal stamping , Signals AND Patient diagnosis ,
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      Snake Skeleton Graph: A New Method for Analyzing Signals That Contain Spatial Information

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    http://yetl.yabesh.ir/yetl1/handle/yetl/128104
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    contributor authorRuxu Du
    contributor authorDiana Xu
    contributor authorEvangelos Liasi
    contributor authorW. Z. Guo
    date accessioned2017-05-09T00:09:45Z
    date available2017-05-09T00:09:45Z
    date copyrightSeptember, 2003
    date issued2003
    identifier issn0022-0434
    identifier otherJDSMAA-26320#294_1.pdf
    identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/128104
    description abstractMany modern engineering systems use multiple sensors for monitoring, diagnosis and control. Some of these sensors contain not only time domain and frequency domain information, but also valuable spatial domain information to which little attention has been paid. This paper presents a new method for capturing the spatial characteristics of the sensor signals. The basic idea is to model the spatial information of the signals using a Bézier surface. For example, given m one-dimensional force signals: X1(t),X2(t),[[ellipsis]],Xm(t), at each time instance t, a Bézier surface can be constructed, which describes the distribution of the force. Furthermore, lining up the surfaces at different time t1,t2,[[ellipsis]],tn, will show how the force changes as a function of time. Since the graph looks like a snake skeleton, the new method is called the snake skeleton graph. The paper first describes how the snake skeleton graph is constructed using a demonstration example: a foot walking on a plate. Then it presents an application for fault diagnosis in sheet metal stamping operation. Future research topics are also discussed.
    publisherThe American Society of Mechanical Engineers (ASME)
    titleSnake Skeleton Graph: A New Method for Analyzing Signals That Contain Spatial Information
    typeJournal Paper
    journal volume125
    journal issue3
    journal titleJournal of Dynamic Systems, Measurement, and Control
    identifier doi10.1115/1.1590683
    journal fristpage294
    journal lastpage302
    identifier eissn1528-9028
    keywordsForce
    keywordsSensors
    keywordsMetal stamping
    keywordsSignals AND Patient diagnosis
    treeJournal of Dynamic Systems, Measurement, and Control:;2003:;volume( 125 ):;issue: 003
    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