Results 221 to 230 of about 15,502 (266)

Modal parameter identification using response data only

Journal of Sound and Vibration, 2005
Order estimation and spurious mode elimination concerning the subspace identification technique are discussed in this paper. To avoid underestimating the state space model order, order estimate is given in terms of component energy index rather than matrix singular values.
Y. Zhang, Z. Zhang, X. Xu, H. Hua
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Mode isolation: A new algorithm for modal parameter identification

The Journal of the Acoustical Society of America, 2001
Multiple degree of freedom (MDOF) algorithms are the dominant methods for extracting modal parameters from measured data. These methods are founded on the notion that because the response of a linear dynamic system is the sum of many modal contributions, the extraction technique must deal with all of the modal parameters in a simultaneous fashion.
M V, Drexel, J H, Ginsberg
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Identification of time varying modal parameters

The Aeronautical Journal, 1990
AbstractThe ability to track time varying frequency and damping parameters using on-line versions of seven time domain system identification algorithms; Least Squares, Double Least Squares, Correlation Fit, Instrumental Variables, Instrumental Matrix with Delayed Observations, Extended Least Squares and Maximum Likelihood, is examined.
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Software Development in Frequency Domain Modal Parameter Identification

Applied Mechanics and Materials, 2012
A modal parameter identification software named as N-Broband is developed in VC++ platform. The software is suitable for EMA and OMA with broband identification feature. Meanwhile it also includes narrow band and selected band modal parameter identification methods. Correlation analysis between experiment and FEA can be performed in N-Broband.
Xin Hui Sun, Mu Ming Hao, Zhen Tao Li
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Identification of Modal Parameters of Rotors

1984
The occurence of instability in rotating machinery may be caused by different effects: oil film in journal bearings, sealings, internal damping etc.
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Wavelet transform-based modal parameter identification considering uncertainty

Journal of Sound and Vibration, 2006
Abstract This paper presents an integrated identification method to consider the uncertainty effect on modal parameters for output-only system. The method is based on the time–frequency characteristics of the wavelet transform (WT) and the capabilities of the bootstrap distribution in statistical estimation.
B.F. Yan, A. Miyamoto, E. Brühwiler
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Modal Parameters Identification with Particle Swarm Optimization

Key Engineering Materials, 2013
The paper presents method of the modal parameters identification based on the Particle Swarm Optimization (PSO) algorithm. The basic PSO algorithm is modified in order to achieve fast convergence and low estimation error of identified parameters values.
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On the frequency mapping of modal parameters identification

Mechanical Systems and Signal Processing, 2007
Abstract With borrowing the complex orthogonal polynomial (OP), the numerical condition of the normal matrix of the rational fractional polynomial method is insensitive to frequency scaling. The other two concerns are, the first, transforming coefficients based on OPs into coefficients based on monomials, and the second, computing polynomials.
Kui-Fu Chen, Qun-Ying Jiao, Yan-Hua Shen
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Effects of measurement noise on modal parameter identification

Smart Materials and Structures, 2012
In the past decade, much research has been conducted on data-driven structural health monitoring (SHM) algorithms with use of sensor measurements. A fundamental step in this SHM application is to identify the dynamic characteristics of structures.
S Dorvash, S N Pakzad
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Structural Modal Parameter Identification Based on ARMA Model

Applied Mechanics and Materials, 2013
Structural parameter identification is a significant technology to show certain characteristics and material damage of earthquake resistant structures or building materials in structural engineering and seismic engineering field. ARMA time-series method is belonged to time-domain method.
Qiang Pei, Long Li
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