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    Stochastic System Identification for Operational Modal Analysis: A Review

    Source: Journal of Dynamic Systems, Measurement, and Control:;2001:;volume( 123 ):;issue: 004::page 659
    Author:
    Bart Peeters
    ,
    Guido De Roeck
    DOI: 10.1115/1.1410370
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: This paper reviews stochastic system identification methods that have been used to estimate the modal parameters of vibrating structures in operational conditions. It is found that many classical input-output methods have an output-only counterpart. For instance, the Complex Mode Indication Function (CMIF) can be applied both to Frequency Response Functions and output power and cross spectra. The Polyreference Time Domain (PTD) method applied to impulse responses is similar to the Instrumental Variable (IV) method applied to output covariances. The Eigensystem Realization Algorithm (ERA) is equivalent to stochastic subspace identification.
    keyword(s): Spectra (Spectroscopy) , Algorithms , Shapes , Stochastic systems , Damping , Parameter estimation , Eigenvalues , Impulse (Physics) AND White noise ,
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      Stochastic System Identification for Operational Modal Analysis: A Review

    URI
    http://yetl.yabesh.ir/yetl1/handle/yetl/124922
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    • Journal of Dynamic Systems, Measurement, and Control

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    contributor authorBart Peeters
    contributor authorGuido De Roeck
    date accessioned2017-05-09T00:04:24Z
    date available2017-05-09T00:04:24Z
    date copyrightDecember, 2001
    date issued2001
    identifier issn0022-0434
    identifier otherJDSMAA-26291#659_1.pdf
    identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/124922
    description abstractThis paper reviews stochastic system identification methods that have been used to estimate the modal parameters of vibrating structures in operational conditions. It is found that many classical input-output methods have an output-only counterpart. For instance, the Complex Mode Indication Function (CMIF) can be applied both to Frequency Response Functions and output power and cross spectra. The Polyreference Time Domain (PTD) method applied to impulse responses is similar to the Instrumental Variable (IV) method applied to output covariances. The Eigensystem Realization Algorithm (ERA) is equivalent to stochastic subspace identification.
    publisherThe American Society of Mechanical Engineers (ASME)
    titleStochastic System Identification for Operational Modal Analysis: A Review
    typeJournal Paper
    journal volume123
    journal issue4
    journal titleJournal of Dynamic Systems, Measurement, and Control
    identifier doi10.1115/1.1410370
    journal fristpage659
    journal lastpage667
    identifier eissn1528-9028
    keywordsSpectra (Spectroscopy)
    keywordsAlgorithms
    keywordsShapes
    keywordsStochastic systems
    keywordsDamping
    keywordsParameter estimation
    keywordsEigenvalues
    keywordsImpulse (Physics) AND White noise
    treeJournal of Dynamic Systems, Measurement, and Control:;2001:;volume( 123 ):;issue: 004
    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