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3 edition of A modal parameter extraction procedure applicable to linear time-invariant dynamic systems found in the catalog.

A modal parameter extraction procedure applicable to linear time-invariant dynamic systems

A modal parameter extraction procedure applicable to linear time-invariant dynamic systems

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Published by Center for Aeronautical Research, Bureau of Engineering Research, University of Texas at Austin, National Aeronautics and Space Administration, National Technical Information Service, distributor in Austin, Tex, [Washington, D.C, Springfield, Va .
Written in English


Edition Notes

Statementby Andrew J. Kurdila, Roy R. Craig, Jr
SeriesNASA contractor report -- NASA CR-176120
ContributionsCraig, Roy R., 1934-, United States. National Aeronautics and Space Administration
The Physical Object
FormatMicroform
Pagination1 v
ID Numbers
Open LibraryOL14984962M

Large-scale linear optimal control (Matlab) Multi-phase system optimal control (Matlab) Mechanical engineering design (Matlab) Non-differentiable optimal control (Matlab) Parameter estimation for dynamic systems (Matlab) Singular optimal control (Matlab) Parameter estimation for dynamic systems: Catalytic cracking of gas oil;. researchers were exploring the idea of an automated test procedure for determining modal parameters[]. Today, with the increased memory and compute power of current computers used to process test data, an automated or autonomous, modal parameter estimation procedure is entirely possible and is being attempted by numerous researchers.

MATLAB Implementation of an Operational Modal Analysis Technique for Vibration-Based Structural Health Monitoring by Alejandro P. Ojeda Bachelor of Science in Electrical Science and Engineering, MIT, Master of Engineering in Electrical Engineering and Computer Science, MIT, linear ARX model to describe the noise and essentially filter out the system’s true output data from the noisy time data series. Keywords: parameter identification, operational modal analysis, non-linear system id, NARMAX, NARX Introduction OMA is a technique of estimating the modal parameters of a system only by processing its output data.

linear com bination of v arious mo des the system and sho ws precisely ho w initial conditions as ell inputs impact these mo des. The T ransfer F unction Matrix It is eviden t from () that the tr ansfer function matrix for system, whic h relates input transform to the output when initial condition is zero, giv en b y H (z) = C I A 1 B File Size: KB. Chapter 2 DEVELOPMENT OF THE PARAMETER EXTRACTION METHOD In developing a modal parameter estimation method for linear, time-invariant dynamic systems, it is assumed that there exists a discrete analytical model, identical to that in Eq.


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A modal parameter extraction procedure applicable to linear time-invariant dynamic systems Download PDF EPUB FB2

Get this from a library. A modal parameter extraction procedure applicable to linear time-invariant dynamic systems.

[Andrew J Kurdila; Roy R Craig; United States. National Aeronautics and. proposed procedure over the exiting schemes of applying the wavelet transform to system identification for a linear system are in use of the time invariance property and filtering ability of the transform to enhance the efficiency of identifying the modal parameters of a structure from its earthquake responses or free vibration responses.

A new modal parameter estimation procedure is presented. The technique is applicable to linear, time-invariant systems and accommodates multiple input excitations. In order to provide a background for the derivation of the method, some modal parameter extraction procedures currently in use are : Jr.

Craig and A. Kurdila. Xiang L., Lu Q. () Modal Parameter Identification of Linear Time Invariant System under Non-stationary Ambient Excitation. In: Ni YQ., Ye XW. (eds) Proceedings of the 1st International Workshop on High-Speed and Intercity Railways.

Lecture Notes in Electrical Engineering, vol Author: Lukai Xiang, Qiuhai Lu. The merits of the proposed procedure over the exiting schemes of applying the wavelet transform to system identification for a linear system are in use of the time invariance property and filtering ability of the transform to enhance the efficiency of identifying the modal parameters of a structure from its earthquake responses or free vibration by: PARAMETER ESTIMATION FOR LINEAR DYNAMICAL SYSTEMS WITH APPLICATIONS TO EXPERIMENTAL MODAL ANALYSIS In this study the fundamentals of structural dynamics and system identification have been studied.

Then some fundamental parameter estimation algorithms in the liter-ature are provided. Therefore, as with other sdof methods, the extraction of modal parameters from closely placed modes is difficult. However, the modes of typical civil engineering structures are well separated.

Second, the proposed method utilizes a mode-isolated time signal to extract natural by: A New Procedure for Modal Parameter Estimation Bart Peeters, Geert Lowet, Herman Van der Auweraer and Jan Leuridan, LMS International, Leuven, Belgium.

SOUND AND VIBRATION/JANUARY 25 estimates a so-called common-denominator transfer function model.8 It was found that these “initial values” already yielded. IMPROVEMENTS IN MODAL PARAMETER EXTRACTION THROUGH POST-PROCESSING FREQUENCY RESPONSE FUNCTION ESTIMATES the primary means of representing the response characteristics of dynamic systems and are widely used in vibration [1] and modal analysis [2].

The estimation errors in modal parameters extracted from periodograms with and without. This success is mainly due to the possibility to extract modal parameters from the structure under test when excited by dynamic loading characterized frequency broadband content, as the (almost) white noise excitation, available in straight and level, unaccelerated flight condition on fixed wing aircraft.

A Substructure Coupling Procedure Applicable to General Linear Time-Invariant Dynamic Systems (Ref. 2) 3 The substructure coupling procedure presented in this report is valid for systems possessing general nonproportional, even nonsymrnetric, damping.

Output only modal parameter extraction techniques have significant advantages over their input- The vibration response of a linear time-invariant dynamic system can be expressed in terms of Time Domain Filtering technique was proved to give accurate estimate of modal parameters for systems with unknown inputs.

The method is simple and. Dynamic measurements are conducted in time domain and we use two methods to identify the modal parameters: a subspace method based on an innovation model of the state-space representation.

NON-LINEAR MODAL ANALYSIS METHODS FOR ENGINEERING STRUCTURES by Hugo Ramon Elizalde Siller Linear modal analysis (LMA) extended for nonlinear systems 98 7 Analytical derivation of NL modal parameters via a fast approx-imation technique (FAT) Cited by: modal parameters to model the structure, problems at specific resonances can be examined and subsequently solved.

The first stage in modelling the dynamic behaviour of a structure is to determine the modal parameters as introduced above: The resonance, or modal, frequency The damping for the resonance – the modal damping The mode shape.

Abstract. Different kinds of modal synthesis method have been used widely in dynamic analysis of linear structure systems, but, in general, they are not suitable for nonlinear systems.

In this paper, a kind of modal synthesis techniques is extended to dynamic analysis of nonlinear systems. The procedure is based upon the method suggested in [20], Cited by: 3. In this paper a new time varying multivariate Prony (TVM-Prony) method is put forward to identify modal parameters of time varying (TV) multiple-degree-of-freedom systems from measured vibration responses.

The proposed method is based on the classical Prony method that is often used to identify modal parameters of linear time invariant : Zi Ying Wu, Kun Shi. three parameters; modal frequency, modal damping and mode shape. Modal parameter estimation is the process of determin-ing these parameters from experimental data.

Furthermore, a set of modal parameters can completely characterize the dy-namic properties of a structure. This set of parameters is also called a modal model for the Size: KB. earthquakes. The linear dynamic behaviour can be fully described by the modal parameters: resonance frequencies, modal shapes and damping ratios.

These parameters mainly depend on the storey masses, which remain unchanged whatever the state of the structure, and the storey.

Transient modal dynamic analysis gives the response of the model as a function of time based on a given time-dependent loading. The structure's response is based on a subset of the modes of the system, which must first be extracted using an eigenfrequency extraction procedure (Natural frequency extraction).The modes will include eigenmodes and, if activated in the eigenfrequency extraction.

As regards the line of investigation into modal balancing, a method is proposed that allows ensuring that the modes found are real modes of the system and that through direction tracking where a single vibration mode is excited, the optimum extraction position of the modal parameters used in the balancing process can be : Rafael Alfonso Figueroa Díaz, J.

E. Aguirre Romano, A. Balvantín García, P. Cruz Alcantar.Dynamic Systems Models demonstrates the use of algorithms based on polynomial approximation which have weaker requirements than already-popular iterative methods.

Specifically, they do not require a first approximation of a root vector and they allow non-differentiable elements in the vector functions being approximated.Modal parameter estimation is the estimation of frequency, damping ratio, and modal coefficients from experimental data.

Modal analysis techniques are a common method used to determine these properties. The Least-Squares Complex Exponential (LSCE) and the Eigensystem Realization Algorithm (ERA) are one of the popular methods of modal analysis : Fillemon Nduvu Nangolo.