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    Identification of Papermaking Process From Closed Loop Data by Bivariate Time Series Analysis

    Source: Journal of Dynamic Systems, Measurement, and Control:;1976:;volume( 098 ):;issue: 003::page 291
    Author:
    M. S. Phadke
    ,
    S. M. Wu
    DOI: 10.1115/1.3427037
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: The data used by Tee and Wu [5] for identification of the transfer function and the noise of a Fourdrinier paper machine are reanalyzed taking into account the feedback of the skilled operator. The identification procedure consists of fitting a bivariate time series to the input and output observations. The transfer function and the noise of the paper machine as well as those of the skilled operator are obtained by simple manipulations of the fitted bivariate model. The resulting model is physically interpreted and an attempt is made to locate the primary source of disturbance.
    keyword(s): Papermaking , Time series , Paper machines , Transfer functions , Noise (Sound) , Feedback AND Fittings ,
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      Identification of Papermaking Process From Closed Loop Data by Bivariate Time Series Analysis

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    https://yetl.yabesh.ir/yetl1/handle/yetl/88456
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    • Journal of Dynamic Systems, Measurement, and Control

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    contributor authorM. S. Phadke
    contributor authorS. M. Wu
    date accessioned2017-05-08T23:00:22Z
    date available2017-05-08T23:00:22Z
    date copyrightSeptember, 1976
    date issued1976
    identifier issn0022-0434
    identifier otherJDSMAA-26039#291_1.pdf
    identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/88456
    description abstractThe data used by Tee and Wu [5] for identification of the transfer function and the noise of a Fourdrinier paper machine are reanalyzed taking into account the feedback of the skilled operator. The identification procedure consists of fitting a bivariate time series to the input and output observations. The transfer function and the noise of the paper machine as well as those of the skilled operator are obtained by simple manipulations of the fitted bivariate model. The resulting model is physically interpreted and an attempt is made to locate the primary source of disturbance.
    publisherThe American Society of Mechanical Engineers (ASME)
    titleIdentification of Papermaking Process From Closed Loop Data by Bivariate Time Series Analysis
    typeJournal Paper
    journal volume98
    journal issue3
    journal titleJournal of Dynamic Systems, Measurement, and Control
    identifier doi10.1115/1.3427037
    journal fristpage291
    journal lastpage295
    identifier eissn1528-9028
    keywordsPapermaking
    keywordsTime series
    keywordsPaper machines
    keywordsTransfer functions
    keywordsNoise (Sound)
    keywordsFeedback AND Fittings
    treeJournal of Dynamic Systems, Measurement, and Control:;1976:;volume( 098 ):;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
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