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    Complex Time Series Modeling and Analysis for Rotor Dynamics Identification

    Source: Journal of Vibration and Acoustics:;1997:;volume( 119 ):;issue: 004::page 512
    Author:
    Chong-Won Lee
    ,
    Jong-Po Park
    ,
    Kwang-Joon Kim
    DOI: 10.1115/1.2889753
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: A new time series method, directional ARMAX (dARMAX) model-based approach, is proposed for rotor dynamics identification. The dARMAX processes complex-valued signals, utilizing the complex modal testing theory which enables the separation of the backward and forward modes in the two-sided frequency domain and makes effective modal parameter identification possible, to account for the dynamic characteristics inherent in rotating machinery. The dARMAX is superior in nature to the conventional ARMAX particularly in the estimation of the modal parameters for isotropic and weakly anisotropic rotors. Numerical simulations are performed to demonstrate effectiveness of the dARMAX.
    keyword(s): Modeling , Rotordynamics , Time series , Separation (Technology) , Machinery , Computer simulation , Rotors , Testing AND Signals ,
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      Complex Time Series Modeling and Analysis for Rotor Dynamics Identification

    URI
    http://yetl.yabesh.ir/yetl1/handle/yetl/119673
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    • Journal of Vibration and Acoustics

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    contributor authorChong-Won Lee
    contributor authorJong-Po Park
    contributor authorKwang-Joon Kim
    date accessioned2017-05-08T23:55:15Z
    date available2017-05-08T23:55:15Z
    date copyrightOctober, 1997
    date issued1997
    identifier issn1048-9002
    identifier otherJVACEK-28840#512_1.pdf
    identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/119673
    description abstractA new time series method, directional ARMAX (dARMAX) model-based approach, is proposed for rotor dynamics identification. The dARMAX processes complex-valued signals, utilizing the complex modal testing theory which enables the separation of the backward and forward modes in the two-sided frequency domain and makes effective modal parameter identification possible, to account for the dynamic characteristics inherent in rotating machinery. The dARMAX is superior in nature to the conventional ARMAX particularly in the estimation of the modal parameters for isotropic and weakly anisotropic rotors. Numerical simulations are performed to demonstrate effectiveness of the dARMAX.
    publisherThe American Society of Mechanical Engineers (ASME)
    titleComplex Time Series Modeling and Analysis for Rotor Dynamics Identification
    typeJournal Paper
    journal volume119
    journal issue4
    journal titleJournal of Vibration and Acoustics
    identifier doi10.1115/1.2889753
    journal fristpage512
    journal lastpage522
    identifier eissn1528-8927
    keywordsModeling
    keywordsRotordynamics
    keywordsTime series
    keywordsSeparation (Technology)
    keywordsMachinery
    keywordsComputer simulation
    keywordsRotors
    keywordsTesting AND Signals
    treeJournal of Vibration and Acoustics:;1997:;volume( 119 ):;issue: 004
    contenttypeFulltext
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