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    Time Series Based Structural Damage Detection Algorithm Using Gaussian Mixtures Modeling 

    Source: Journal of Dynamic Systems, Measurement, and Control:;2007:;volume( 129 ):;issue: 003:;page 285
    Author(s): K. Krishnan Nair; Anne S. Kiremidjian
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: In this paper, a time series based detection algorithm is proposed utilizing the Gaussian Mixture Models. The two critical aspects of damage diagnosis that are investigated are detection and ...
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    Derivation of a Damage Sensitive Feature Using the Haar Wavelet Transform 

    Source: Journal of Applied Mechanics:;2009:;volume( 076 ):;issue: 006:;page 61015
    Author(s): K. Krishnan Nair; Anne S. Kiremidjian
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: In this paper, a damage sensitive feature based on the wavelet transform of the vibration signal is derived. The theoretical aspects of wavelet decomposition of vibration signals are presented. ...
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    Use of Wavelet-Based Damage-Sensitive Features for Structural Damage Diagnosis Using Strong Motion Data 

    Source: Journal of Structural Engineering:;2011:;Volume ( 137 ):;issue: 010
    Author(s): Hae Young Noh; K. Krishnan Nair; Dimitrios G. Lignos; Anne S. Kiremidjian
    Publisher: American Society of Civil Engineers
    Abstract: This paper introduces three wavelet-based damage-sensitive features (DSFs) extracted from structural responses recorded during earthquakes to diagnose structural damage. Because earthquake excitations are nonstationary, ...
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