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    A Fast Rational Model Approach to Parametric Spectral Estimation—Part I: The Algorithm 

    Source: Journal of Vibration and Acoustics:;1990:;volume( 112 ):;issue: 003:;page 321
    Author(s): S. D. Fassois
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: A novel, fast rational model (ARMA) approach to parametric spectral estimation, based on correlation-type and guaranteed-stability versions of the Suboptimum Maximum Likelihood scheme that utilizes ...
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    A Fast Rational Model Approach to Parametric Spectral Estimation—Part II: Properties and Performance Evaluation 

    Source: Journal of Vibration and Acoustics:;1990:;volume( 112 ):;issue: 003:;page 328
    Author(s): S. D. Fassois
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: In the first part of this paper (Fassois, 1990), the basic form of a novel, fast rational model approach to parametric spectral estimation was introduced. In this second part the consistency ...
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    Suboptimum Maximum Likelihood Estimation of Structural Parameters from Multiple-Excitation Vibration Data 

    Source: Journal of Vibration and Acoustics:;1992:;volume( 114 ):;issue: 002:;page 260
    Author(s): J. E. Lee; S. D. Fassois
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: In this paper an effective stochastic and multiple-excitation single-response approach to structural dynamics identification is introduced. The proposed approach accounts for many previously unaccounted ...
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    Recursive Identification of Vibrating Structures from Noise-Corrupted Observations, Part 1: Identification Approaches 

    Source: Journal of Vibration and Acoustics:;1991:;volume( 113 ):;issue: 003:;page 354
    Author(s): R. Ben Mrad; S. D. Fassois
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: In this paper the problem of recursive structural dynamics identification from noise-corrupted observations is addressed, and approaches that overcome the weaknesses of current methods, stemming ...
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    Suboptimum Maximum Likelihood Identification of ARMAX Processes 

    Source: Journal of Dynamic Systems, Measurement, and Control:;1990:;volume( 112 ):;issue: 004:;page 586
    Author(s): S. D. Fassois; J. E. Lee
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: A Suboptimum Maximum Likelihood (SML) method for ARMAX process identification from input-output observations is proposed. The proposed method is based on a quadratic approximation of the asymptotic ...
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    Recursive Identification of Vibrating Structures from Noise-Corrupted Observations, Part 2: Performance Evaluation via Numerical and Laboratory Experiments 

    Source: Journal of Vibration and Acoustics:;1991:;volume( 113 ):;issue: 003:;page 362
    Author(s): R. Ben Mrad; S. D. Fassois
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: In the first part of this paper (Ben Mrad and Fassois, 1991), the problem of recursive structural dynamics identification from noise-corrupted observations was examined, and six approaches that ...
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    A Linear Time-Domain Method for Structural Dynamics Identification 

    Source: Journal of Vibration and Acoustics:;1990:;volume( 112 ):;issue: 001:;page 98
    Author(s): S. D. Fassois; K. F. Eman; S. M. Wu
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: A two-stage, time-domain structural dynamics identification method, that circumvents some of the main drawbacks of current techniques, and combines good noise rejection properties with a low ...
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    A Fast Algorithm for On-Line Machining Process Modeling and Adaptive Control 

    Source: Journal of Manufacturing Science and Engineering:;1989:;volume( 111 ):;issue: 002:;page 133
    Author(s): S. D. Fassois; K. F. Eman; S. M. Wu
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: A fast, on-line algorithm for machining process modeling and control is proposed. The modeling is accomplished via a new recursive estimator that offers good accuracy at a minimal computational ...
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    Sensitivity Analysis of the Discrete-to-Continuous Dynamic System Transformation 

    Source: Journal of Dynamic Systems, Measurement, and Control:;1990:;volume( 112 ):;issue: 001:;page 1
    Author(s): S. D. Fassois; K. F. Eman; S. M. Wu
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: A sensitivity analysis of the discrete-to-continuous transformation used in the “indirect” modeling of continuous-time systems from sampled experimental data is presented. For the transformation of ...
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    A Suboptimum Maximum Likelihood Approach to Parametric Signal Analysis 

    Source: Journal of Dynamic Systems, Measurement, and Control:;1989:;volume( 111 ):;issue: 002:;page 153
    Author(s): S. D. Fassois; K. F. Eman; S. M. Wu
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: A computationally efficient approach to stochastic ARMA modeling of wide-sense stationary signals is proposed. The discrete estimator minimizes a modified version of the likelihood function by ...
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