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    A Technique for Estimating Linear Parameters Using Nonlinear Restoring Force Extraction in the Absence of an Input Measurement

    Source: Journal of Vibration and Acoustics:;2005:;volume( 127 ):;issue: 005::page 483
    Author:
    Muhammad Haroon
    ,
    Yiu Wah Luk
    ,
    Douglas E. Adams
    DOI: 10.1115/1.2013293
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Conventional nonlinear system identification procedures estimate the system parameters in two stages. First, the nominally linear system parameters are estimated by exciting the system at an amplitude (usually low) where the behavior is nominally linear. Second, the nominally linear parameters are used to estimate the nonlinear parameters of the system at other arbitrary amplitudes. This approach is not suitable for many mechanical systems, which are not nominally linear over a broad frequency range for any operating amplitude. A method for nonlinear system identification, in the absence of an input measurement, is presented that uses information about the nonlinear elements of the system to estimate the underlying linear parameters. Restoring force, boundary perturbation, and direct parameter estimation techniques are combined to develop this approach. The approach is applied to experimental tire-vehicle suspension system data.
    keyword(s): Force , Vehicles , Parameter estimation , Stiffness AND Damping ,
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      A Technique for Estimating Linear Parameters Using Nonlinear Restoring Force Extraction in the Absence of an Input Measurement

    URI
    http://yetl.yabesh.ir/yetl1/handle/yetl/132878
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    • Journal of Vibration and Acoustics

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    contributor authorMuhammad Haroon
    contributor authorYiu Wah Luk
    contributor authorDouglas E. Adams
    date accessioned2017-05-09T00:18:20Z
    date available2017-05-09T00:18:20Z
    date copyrightOctober, 2005
    date issued2005
    identifier issn1048-9002
    identifier otherJVACEK-28876#483_1.pdf
    identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/132878
    description abstractConventional nonlinear system identification procedures estimate the system parameters in two stages. First, the nominally linear system parameters are estimated by exciting the system at an amplitude (usually low) where the behavior is nominally linear. Second, the nominally linear parameters are used to estimate the nonlinear parameters of the system at other arbitrary amplitudes. This approach is not suitable for many mechanical systems, which are not nominally linear over a broad frequency range for any operating amplitude. A method for nonlinear system identification, in the absence of an input measurement, is presented that uses information about the nonlinear elements of the system to estimate the underlying linear parameters. Restoring force, boundary perturbation, and direct parameter estimation techniques are combined to develop this approach. The approach is applied to experimental tire-vehicle suspension system data.
    publisherThe American Society of Mechanical Engineers (ASME)
    titleA Technique for Estimating Linear Parameters Using Nonlinear Restoring Force Extraction in the Absence of an Input Measurement
    typeJournal Paper
    journal volume127
    journal issue5
    journal titleJournal of Vibration and Acoustics
    identifier doi10.1115/1.2013293
    journal fristpage483
    journal lastpage492
    identifier eissn1528-8927
    keywordsForce
    keywordsVehicles
    keywordsParameter estimation
    keywordsStiffness AND Damping
    treeJournal of Vibration and Acoustics:;2005:;volume( 127 ):;issue: 005
    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