Relevant bibliographies by topics / Modal parameter identification / Dissertations / Theses
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Dissertations / Theses on the topic 'Modal parameter identification'

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Published: 4 June 2021
Last updated: 26 July 2025

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1

Drexel, Michael V. "Modal parameter identification using mode isolation." Diss., Georgia Institute of Technology, 2001. http://hdl.handle.net/1853/17239.

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2

Zhou, Wenliang. "Multivariate analysis in vibration modal parameter identification /." View online ; access limited to URI, 2006. http://0-digitalcommons.uri.edu.helin.uri.edu/dissertations/AAI3248248.

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3

Furness, Charles Zachary. "Parameter identification of a flexible beam using a modal domain optical fiber sensor." Thesis, Virginia Tech, 1990. http://hdl.handle.net/10919/42058.

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<p>An optical fiber sensor is used for identification of a cantilevered beam under conditions of various concentrated mass loadings. A model of the sensor as well as the dynamic system is developed and used to test the reliability of the identification. Input/output data from an experiment is gathered and used in the identification. A survey of the existing areas of damage detection and parameter identification is included, along with suggestions for incorporating fiber optic sensors into existing techniques. The goal of this research was to show that the fiber sensor can be used for identific
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4

陶冬玲 and Dong-ling Tao. "Modal parameter identification for non-linear systems using the time-domain fourier filter output method." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 1997. http://hub.hku.hk/bib/B31236169.

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5

Tao, Dong-ling. "Modal parameter identification for non-linear systems using the time-domain fourier filter output method /." Hong Kong : University of Hong Kong, 1997. http://sunzi.lib.hku.hk/hkuto/record.jsp?B19013310.

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6

Buke, Fatih. "An Investigation On The Application Of Operational Modal Analysis." Master's thesis, METU, 2006. http://etd.lib.metu.edu.tr/upload/2/12607529/index.pdf.

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Modal parameter identification of a structure is done through modal testing and modal analysis using various system identification methods. These methods employ linear input-output relationships to extract the modes of a structure. There are cases where laboratory testing of a structure is not possible or information about the structure under operating conditions is seeked. A set of techniques called Operational Modal Analysis have been developed for modal parameter identification in operating conditions of a structure. These techniques use only response measurements to extract the modes. The
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7

Bornitz, Matthias, Thomas Zahnert, Hans-Jürgen Hardtke, and Karl-Bernd Hüttenbrink. "Identification of Parameters for the Middle Ear Model." Saechsische Landesbibliothek- Staats- und Universitaetsbibliothek Dresden, 2014. http://nbn-resolving.de/urn:nbn:de:bsz:14-qucosa-135790.

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This paper presents a method of parameter identification for a finite-element model of the human middle ear. The parameter values are estimated using a characterization of the difference in natural frequencies and mode shapes of the tympanic membrane between the model and the specimens. Experimental results were obtained from temporal bone specimens under sound excitation (300–3,000 Hz). The first 3 modes of the tympanic membrane could be observed with a laser scanning vibrometer and were used to estimate the stiffness parameters for the orthotropic finite-element model of the eardrum. A furth
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8

Fahey, Sean O'Flaherty. "Parameter Estimation of Structural Systems Possessing One or Two Nonlinear Normal Modes." Diss., Virginia Tech, 2000. http://hdl.handle.net/10919/29477.

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In this Dissertation, we develop, and provide proof of principle for, parameter identification techniques for structural systems that can be described in terms of one or two nonlinear normal modes. We model the dynamics of these modes by second-order ordinary-differential equations based on the principles of mechanics, past experience, and engineering judgment. We perform a number of separate experiments on a two-mass structure using several different types of excitation. For the linear tests, the theoretical system response is known in closed-form. For the nonlinear test, we use the metho
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9

Idehara, Sergio Junichi. "Identificação de parametros modais de estruturas e maquinas rotativas atraves da filtragem adaptativa." [s.n.], 2007. http://repositorio.unicamp.br/jspui/handle/REPOSIP/263784.

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Orientador: Milton Dias Junior<br>Tese (doutorado) - Universidade Estadual de Campinas, Faculdade de Engenharia Mecanica<br>Made available in DSpace on 2018-08-10T08:27:27Z (GMT). No. of bitstreams: 1 Idehara_SergioJunichi_D.pdf: 6234443 bytes, checksum: 5071d7a2383df6369dbeaf00f65fb511 (MD5) Previous issue date: 2007<br>Resumo: Este trabalho consiste na investigação de algoritmos da filtragem adaptativa utilizados no contexto da identificação de parâmetros. Apesar de ainda ser uma técnica pouco explorada na engenharia mecânica, os algoritmos adaptativos, com destaque para o método dos mínim
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10

Baby, Arun Paul. "Comparison of Modal Parameter Estimation using State Space Methods (N4SID) and the Unified Matrix Polynomial Approach." University of Cincinnati / OhioLINK, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1613731964598438.

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11

Bornitz, Matthias, Thomas Zahnert, Hans-Jürgen Hardtke, and Karl-Bernd Hüttenbrink. "Identification of Parameters for the Middle Ear Model." Karger, 1999. https://tud.qucosa.de/id/qucosa%3A27677.

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This paper presents a method of parameter identification for a finite-element model of the human middle ear. The parameter values are estimated using a characterization of the difference in natural frequencies and mode shapes of the tympanic membrane between the model and the specimens. Experimental results were obtained from temporal bone specimens under sound excitation (300–3,000 Hz). The first 3 modes of the tympanic membrane could be observed with a laser scanning vibrometer and were used to estimate the stiffness parameters for the orthotropic finite-element model of the eardrum. A furth
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12

Berny, Myriam. "High-temperature tests for ceramic matrix composites : from full-field regularised measurements to thermomechanical parameter identification." Thesis, université Paris-Saclay, 2020. http://www.theses.fr/2020UPAST028.

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Cette thèse a pour objectif de développer une méthode de mesure de champs par corrélation d’images numériques (CIN) à haute température couplée à des mesures thermiques sur une éprouvette technologique en CMC sollicitée dans des conditions thermiques représentatives d’un environnement moteur et de mettre en place une méthodologie d’identification des propriétés thermiques et thermomécaniques du matériau, en quantifiant à chaque étape de la chaîne les incertitudes associées aux quantités d’intérêt et en les réduisant. Il a pour cela été nécessaire de traiter les défis inhérents à la CIN à chaud
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13

Kraft, Sönke. "Parameter identification for a TGV model." Phd thesis, Ecole Centrale Paris, 2012. http://tel.archives-ouvertes.fr/tel-00731143.

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This work investigates the applicability of identification methods to the suspension parameters of a TGV multi-body model. The aim is to adjust the model to the real system by estimating the suspension parameters from measured vehicle response data. Due to the nonlinear behavior of the system the time-domain based model updating has been chosen. It requires the definition and minimization of a misfit function in the time domain describing the distance between model and measurement. The fastest convergence is obtained by the use of gradient methods requiring the calculation of the derivatives o
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14

Steele, Andrew D. "Time constrained qualitative model-based parameter identification." Thesis, Heriot-Watt University, 1996. http://hdl.handle.net/10399/735.

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15

Manchu, Sreenivasarao. "Parameter Identification for Mechanical Joints." Thesis, Blekinge Tekniska Högskola, Avdelningen för maskinteknik, 2006. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-4309.

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All but the simplest physical systems contains mechanical joints. The behavior of these joints is sometimes the dominant factor in over all system behavior. The potential for occurence of microslip and macroslip normally makes the behavior of joints non-linear. Accurate modeling of joints requires a non-linear ramework. As clamping pressures are typically random ad variable, the behavior of the joints becomes random. Joint geometries are random along with other unknowns of the joints. Two different methods for measuring the energy dissipation are explained. In the experimental method, the ener
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16

Joseph, Daniel Scott. "Parameter Identification for the Preisach Model of Hysteresis." Diss., Virginia Tech, 2001. http://hdl.handle.net/10919/27295.

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Hysteresis, defined as a rate independent memory effect, is a phenomenon that occurs in many physical systems. The effect is sometimes desired, sometimes a nuisance, sometimes cata- strophic, but in every case we must understand hysteresis if we are to better understand the system itself. This work introduces a method of parameter identification for the Preisach model of hyster- esis. This identification method is explored in both the setting of non-singular measures and the setting of singular measures.<br>Ph. D.
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17

Kitatani, Júnior Sigeo. "Investigação sobre procedimentos de identificação de cargas axiais em dutos submersos a partir de respostas vibratórias." Universidade Federal de Uberlândia, 2014. https://repositorio.ufu.br/handle/123456789/14773.

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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior<br>In the present thesis it is proposed and evaluated, both numerically and experimentally, an inverse procedure for the indirect determination of axial loads applied to submersed pipe-like structures, based on their dynamic responses. The investigation is motivated by the existence of practical problems encountered in the oil industry. An experimental bench has been designed and built, consisting in a reservoir inside which a tubular stainless steel beam has been mounted and tested. Special fixtures have been designed in such a way t
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18

Vazirinejad, Shamsedin. "Model identification and parameter estimation of stochastic linear models." Diss., The University of Arizona, 1990. http://hdl.handle.net/10150/185037.

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It is well known that when the input variables of the linear regression model are subject to noise contamination, the model parameters can not be estimated uniquely. This, in the statistical literature, is referred to as the identifiability problem of the errors-in-variables models. Further, in linear regression there is an explicit assumption of the existence of a single linear relationship. The statistical properties of the errors-in-variables models under the assumption that the noise variances are either known or that they can be estimated are well documented. In many situations, however,
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19

Pearce-Lance, Jacob. "Methods for Parameter Identification in the Mitchell-Schaeffer Model." Thesis, Université d'Ottawa / University of Ottawa, 2019. http://hdl.handle.net/10393/39615.

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This thesis focusses on the development and testing of optimization methods for parameter identification in cardiac electrophysiology models. Cardiac electrophysiology models are systems of differential equations representing the evolution of the trans-membrane potential of cardiac cells. The Mitchell-Schaeffer model is chosen for this thesis. The parameters included in the Mitchell-Schaeffer model are optimally adjusted so that the solution of the model has desired properties. Two optimization problems are formulated using least-square functions to identify parameters that match phase duratio
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20

Sui, Liqi. "Uncertainty management in parameter identification." Thesis, Compiègne, 2017. http://www.theses.fr/2017COMP2330/document.

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Afin d'obtenir des simulations plus prédictives et plus précises du comportement mécanique des structures, des modèles matériau de plus en plus complexes ont été développés. Aujourd'hui, la caractérisation des propriétés des matériaux est donc un objectif prioritaire. Elle exige des méthodes et des tests d'identification dédiés dans des conditions les plus proches possible des cas de service. Cette thèse vise à développer une méthodologie d'identification efficace pour trouver les paramètres des propriétés matériau, en tenant compte de toutes les informations disponibles. L'information utilisé
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21

Choi, Rejina Ling Wei. "Modelling and Model Based Control Design For Rotorcraft Unmanned Aerial Vehicle." Thesis, University of Canterbury. Mechanical Engineering, 2014. http://hdl.handle.net/10092/9933.

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Designing high performance control of rotorcraft unmanned aerial vehicle (UAV) requires a mathematical model that describes the dynamics of the vehicle. The model is derived from first principle modelling, such as rigid-body dynamics, actuator dynamics and etc. It is found that simplified decoupled model of RUAV has slightly better data fitting compared with the complex model for helicopter attitude dynamics in hover or near hover flight condition. In addition, the simplified modelling approach has made the analysis of system dynamics easy. System identification method is applied to identify t
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22

Nguyen, Khac Duy. "Structural damage identification using experimental modal parameters via correlation approach." Thesis, Queensland University of Technology, 2018. https://eprints.qut.edu.au/117289/2/Khac%20Duy%20Nguyen.pdf.

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This research provides a new damage identification strategy using experimental modal parameters via correlation approach. Two damage identification algorithms using modal strain energy-eigenvalue ratio (MSEE) are presented. Firstly, a method using a simplified term of MSEE called geometric modal strain energy-eigenvalue ratio (GMSEE) is developed. Secondly, the original method is modified using the full term of MSEE, proving better capability of damage identification when used with fewer vibration modes. Performance of the proposed damage identification algorithms has been successfully validat
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23

Kim, Soo Hyun. "Parameter identification and model based control of direct drive robots." Thesis, Imperial College London, 1991. http://hdl.handle.net/10044/1/46867.

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24

Mui, Glen B. Carleton University Dissertation Engineering Mechanical and Aerospace. "Parameter identification of a non-linear electrorheological fluid damper model." Ottawa, 1996.

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25

Iacobucci, Marco. "Dynamic parameter identification of a collaborative robot." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2021.

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I robot collaborativi stanno guadagnando un interesse crescente nel campo della robotica. Dal momento che l'industria 4.0 richiede nuovi livelli di flessibilità e soluzioni innovative di prodotto, robot e umani recentemente hanno iniziato ad interagire e lavorare in un 'ambiente comune senza protezioni perimetrali. Questa tecnologia emergente può provvedere all'operatore supporto fisico o assistenza nello svolgere compiti pericolosi o faticosi. In questo scenario, un controllo in tempo reale dovrebbe essere il più affidabile possibile e minimizzare ogni rischio legato alla collaborazione tra u
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26

Guidi, Hernan. "Open and closed-loop model identification and validation." Pretoria : [s.n.], 2009. http://upetd.up.ac.za/thesis/available/etd-07032009-170311/.

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27

Liu, Yi. "Grey-box Identification of Distributed Parameter Systems." Doctoral thesis, Stockholm, 2005. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-220.

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28

Méndez, Diez Joel. "Thermoviscoplasticity of glassy polymers experimental characterization, parameter identification and model validation." Stuttgart Inst. für Mechanik (Bauwesen), 2010. http://d-nb.info/1000784371/34.

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29

Düvelmeyer, Dana. "Some stability results of parameter identification in a jump diffusion model." Universitätsbibliothek Chemnitz, 2005. http://nbn-resolving.de/urn:nbn:de:swb:ch1-200501234.

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In this paper we discuss the stable solvability of the inverse problem of parameter identification in a jump diffusion model. Therefore we introduce the forward operator of this inverse problem and analyze its properties. We show continuity of the forward operator and stability of the inverse problem provided that the domain is restricted in a specific manner such that techniques of compact sets can be exploited. Furthermore, we show that there is an asymptotical non-injectivity which causes instability problems whenever the jump intensity increases and the jump heights decay simultaneously.
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30

Rukavina, Tea. "Multi-scale damage model of fiber-reinforced concrete with parameter identification." Thesis, Compiègne, 2018. http://www.theses.fr/2018COMP2460/document.

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Dans cette thèse, plusieurs approches de modélisation de composites renforcés par des fibres sont proposées. Le matériau étudié est le béton fibré, et dans ce modèle, on tient compte de l’influence de trois constituants : le béton, les fibres, et la liaison entre eux. Le comportement du béton est analysé avec un modèle d’endommagement, les fibres d'acier sont considérées comme élastiques linéaires, et le comportement sur l'interface est décrit avec une loi de glissement avec l’extraction complète de la fibre. Une approche multi-échelle pour coupler tous les constituants est proposée, dans laqu
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Alam, Abul Hasan Mohammad Badiul. "Development of distributed rainfall-runoff model with soil moisture model and its parameter identification." Kyoto University, 2007. http://hdl.handle.net/2433/136523.

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Kyoto University (京都大学)<br>0048<br>新制・課程博士<br>博士(農学)<br>甲第13104号<br>農博第1609号<br>新制||農||940(附属図書館)<br>学位論文||H19||N4230(農学部図書室)<br>UT51-2007-H377<br>京都大学大学院農学研究科地域環境科学専攻<br>(主査)教授 河地 利彦, 教授 三野 徹, 教授 谷 誠<br>学位規則第4条第1項該当
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Starfinger, Christina. "Patient-Specific Modelling of the Cardiovascular System for Diagnosis and Therapy Assistance in Critical Care." Thesis, University of Canterbury. Mechanical Engineering, 2008. http://hdl.handle.net/10092/1718.

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Critical care is provided to patients who require intensive monitoring and often the support of failing organs. Cardiovascular and circulatory diseases and dysfunctions are extremely common in this group of patients. However, cardiac disease states are highly patient-specific and every patient has a unique expression of the disease or underlying dysfunction. Clinical staff must consider many combinations of different disease scenarios based on frequently conflicting or confusing measured data on a patient’s condition. Successful diagnosis and treatment therefore often rely on the experience an
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33

Kučerová, Anna. "Identification of nonlinear mechanical model parameters based on softcomputing methods." Cachan, Ecole normale supérieure, 2007. http://tel.archives-ouvertes.fr/tel-00256025/fr/.

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Le problème d'identification des paramètres apparaît dans beaucoup de problèmes en génie civil sous formes différentes et il peut être résolu par beaucoup de méthodes distinctes. Cette thèse présente deux philosophies principales d'identification avec orientation vers les méthodes basées sur intelligence artificielle. Les aspects pratiques sont montrés sur plusieurs problèmes d'identification, où les paramètres des modèles mécaniques non linéaires sont à déterminer<br>The problem of parameters identification occurs in many engineering tasks and, as such, attains several différent forms and can
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34

Markusson, Ola. "Model and System Inversion with Applications in Nonlinear System Identification and Control." Doctoral thesis, KTH, Signals, Sensors and Systems, 2001. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-3287.

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35

Tallfors, Mats. "Parameter estimation and model based control design of drive train systems." Licentiate thesis, Stockholm, 2005. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-285.

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36

Bhikkaji, Bharath. "Model Reduction and Parameter Estimation for Diffusion Systems." Doctoral thesis, Uppsala : Acta Universitatis Upsaliensis : Univ.-bibl. [distributör], 2004. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-4252.

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37

Starkloff, Hans-Jörg, Dana Düvelmeyer, and Bernd Hofmann. "A note on uniqueness of parameter identification in a jump diffusion model." Universitätsbibliothek Chemnitz, 2005. http://nbn-resolving.de/urn:nbn:de:swb:ch1-200501325.

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In this note, we consider an inverse problem in a jump diffusion model. Using characteristic functions we prove the injectivity of the forward operator mapping the five parameters determining the model to the density function of the return distribution.
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38

CASTRO, ABEL ARRIETA. "PARAMETER IDENTIFICATION AND CALIBRATION OF THE DYNAMIC MODEL OF A GROUND VEHICLE." PONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO DE JANEIRO, 2013. http://www.maxwell.vrac.puc-rio.br/Busca_etds.php?strSecao=resultado&nrSeq=23514@1.

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PONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO DE JANEIRO<br>COORDENAÇÃO DE APERFEIÇOAMENTO DO PESSOAL DE ENSINO SUPERIOR<br>PROGRAMA DE EXCELENCIA ACADEMICA<br>Atualmente nos veículos terrestres a melhora de seu desempenho é permanente. Esta melhora, em grande parte está relacionada com seus sistemas de controle. Para o desenho de sistema de controle, tais como, sistema eletrônico de estabilidade ou controle anti-capotagem é preciso prever o comportamento do veículo sob certas condições dinâmicas. Esta predição do comportamento dinâmico do veículo é feita por meio de modelos matemáticos que dependem
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Fan, Yigang. "Identification of an Unsteady Aerodynamic Model up to High Angle of Attack Regime." Diss., Virginia Tech, 1997. http://hdl.handle.net/10919/29830.

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The harmonic oscillatory tests for a fighter aircraft configuration using the Dynamic Plunge-Pitch-Roll (DyPPiR) model mount at Virginia Tech Stability Wind Tunnel are described and analyzed. The corresponding data reduction methods are developed on the basis of multirate digital signal processing techniques. Since the model is sting-mounted to the support system of DyPPiR, the Discrete Fourier Transform (DFT) is first used to identify the frequencies of the elastic modes of sting. Then the sampling rate conversion systems are built up in digital domain to resample the data at a lower rate wit
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Temeltas, H. "Real-time identification of robot dynamic model parameters using parallel processing." Thesis, University of Nottingham, 1993. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.357973.

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41

Arslan, Ozge. "Modal Identification Of Nonlinear Substructures And Implementation In Structural Coupling Analysis." Master's thesis, METU, 2008. http://etd.lib.metu.edu.tr/upload/3/12609859/index.pdf.

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In this work, a new method is suggested for the modal identification of nonlinear structures and for the use of the modal data in calculating response of the nonlinear system to harmonic excitation. Nonlinearity in mechanical structures is usually encountered in connection regions. In this study, the nonlinear part of such a structure is modeled as a single nonlinear element and modal parameters of the structure are obtained as a function of displacement amplitude. Identification and modeling of nonlinear elements can be done through modal tests conducted at different response levels. Response
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42

Loucký, Vojtěch. "Model Li-ion akumulátoru." Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2021. http://www.nusl.cz/ntk/nusl-442783.

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This diploma thesis deals with description of the principle of Li-ion cells, literature search on the topic of mathematical models of Li-ion cells and the creation of a selected mathematical model in MATLAB, which is able to simulate the course of voltage and state of charge as a function of time for different ambient conditions, such as various aging of battery .The creation of both the model and the procedure of identification of parameters necessary for the creation of the model are described here as well as different options of identification of parameters. The selected Thevenin model is t
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Wong, Sze-Chung, and 黃思聰. "Modal Parameter Identification Through Simulated Evolution." Thesis, 1996. http://ndltd.ncl.edu.tw/handle/73178867749938107646.

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碩士<br>國立成功大學<br>航空太空工程學系<br>84<br>In this thesis, modal parameter identification of linear vibrating structure based on optimization approach is studied. A global optimization search algorithm based on the Darwinian Evolutionary Theory is implemented for identification of modal parameters of a linear vibrating structure. The capability of the evolutionary method in locating the global minimum among numerous local minima will be demonst
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詹啟鋒. "Modal Parameter Identification Using Ambient Vibration Data." Thesis, 2000. http://ndltd.ncl.edu.tw/handle/14139585133526994337.

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碩士<br>國立成功大學<br>航空太空工程學系<br>88<br>Dynamical systems can be characterized by their modal parameters, which include natural frequencies, damping ratios and mode shapes. Identification of system characteristics is usually accomplished using both input and output data from the structural system. In many cases, however, only output measurements are available for structures under ambient conditions. It can be shown that if the input signals can be modeled as white noise the theoretical auto- and cross-correlation functions of structural response have the same mathematical form as free vibration of t
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Chuang, M. T., and 莊明通. "Modal Parameter Identification by Eigensystem Realization Algorithm." Thesis, 1996. http://ndltd.ncl.edu.tw/handle/74203390927809230879.

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碩士<br>國立成功大學<br>機械工程研究所<br>84<br>Eigensystem Realization Algorithm (ERA) uses Markov parameters to form the Hankel matrices. From these Hankel matrices, the system triplet and the minimum order realization model are obtained by singular value decomposition. When ERA is utilized with data correlation (ERA-DC), the correlation matrices may reduce the noise effect. In general, ERA and ERA-DC both give good results. When considering same data and same Hankel matrix, the estimated results of ERA
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46

Lyu, Hong-you, and 呂宏猷. "Modal Parameter Identification from Ambient Vibration Measurements." Thesis, 2009. http://ndltd.ncl.edu.tw/handle/89095506957224101599.

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碩士<br>國立成功大學<br>土木工程學系碩博士班<br>97<br>The application of ambient vibration measurements is widely used for the parameter identification of structural systems. This study uses the random decrement method to ex-tract the free vibration signals from the ambient vibration measurements. Furthermore, the Ibrahim time domain method is adopted to identify the modal characteristics like natural frequencies and damping ratios from random decrement signals. Important identi-fication parameters of both methods are investigated in this study by analyzing both sin-gle- and multiple-degree-of-freedom systems.
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Kao, Tze-Feng, and 高梓峰. "Modal-Parameter Identification Using Continuous Wavelet Transform." Thesis, 2007. http://ndltd.ncl.edu.tw/handle/71840292622363905086.

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碩士<br>國立成功大學<br>航空太空工程學系碩博士班<br>95<br>This thesis presents a technique for modal-parameter identification based on continuous wavelet transformation. Through adequate processing methods, the stationary ambient vibration data is transformed approximately to the free vibration of the analyzed system. The modal-parameter of the system (including natural frequencies, damping ratios and mode shapes) are then identified from the ridges in the time-frequency spectrum obtained by the wavelet analysis. As the modal parameters are identified from the ridges, and the close modes will interfere with each
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Chang-ShengLin and 林章生. "Modal-Parameter Identification from Nonstationary Ambient Vibration Data." Thesis, 2011. http://ndltd.ncl.edu.tw/handle/66923661068643380979.

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Cheng, Shao-Chieh, and 鄭劭傑. "Modal-Parameter Identification Using Non-Stationary Time Series." Thesis, 2007. http://ndltd.ncl.edu.tw/handle/79768274889225665637.

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碩士<br>國立成功大學<br>航空太空工程學系碩博士班<br>95<br>This thesis studies Non-Stationary Time Series for the application of modal-parameter identification from non-stationary ambient vibration data. The original Time Series uses ARMA (Autoregressive Moving-Average) model, which contains autoregressive part and moving average part, to reconstruct the stationary ambient vibration data, and obtains modal parameter with autoregressive part of ARMA model. However, the original time series method is not applicable to non-stationary signal which is closer to natural environment. So we propose two ways to build a non
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Cheng, Min-Shih, and 鄭銘勢. "An Application of Time Domain Modal Parameter Identification Methods." Thesis, 1997. http://ndltd.ncl.edu.tw/handle/18653179083776264050.

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碩士<br>國立成功大學<br>航空太空工程學系<br>85<br>Dynamical systems can be characterized by their natural frequecies, damping ratios and mode shapes. Identification of system characteristics are usually accomplished using both input and output data from the structural system. In many cases, however, only output measurements are possible for structures under ambient conditions. It can be shown that if the input signals can be modeled as white noise the theoretical auto- and cross-correlati
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