Skip to main content

2012 | OriginalPaper | Buchkapitel

8. Time-Frequency Domain Modal Parameter Estimation of Time-Varying Structures Using a Two-Step Least Square Estimator

verfasst von : Si-Da Zhou, Ward Heylen, Paul Sas, Li Liu

Erschienen in: Topics in Modal Analysis I, Volume 5

Verlag: Springer New York

Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.

search-config
loading …

Abstract

Under natural stochastic excitations, responses of time-varying structures are always nonstationary stochastic signals, of which spectra change with time. This paper studies the time-dependent power spectrum density based on time-frequency analysis. Based on the time-dependent power spectrum density, a mathematical model of the time-frequency-domain two-step least square modal parameter estimator for time-varying structures is presented. In the first-step estimation, the modal parameters at each time instant are estimated using the least square complex frequency-domain method. Furthermore, the estimated modal parameters are sifted and sorted. Based on the sifted and sorted modal parameters, the time-varying resonance frequency, damping ratio and operational mode shapes are estimated in the second-step estimation. A numerical simulation example and a group of experiments validate this two-step least square modal parameter estimator for time-varying structures.

Sie haben noch keine Lizenz? Dann Informieren Sie sich jetzt über unsere Produkte:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

  • über 102.000 Bücher
  • über 537 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Maschinenbau + Werkstoffe
  • Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 390 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Maschinenbau + Werkstoffe




 

Jetzt Wissensvorsprung sichern!

Literatur
1.
Zurück zum Zitat Poulimenos AG, Fassois SD (2009) Output-only stochastic identification of a time-varying structure via functional series TARMA models. Mech Syst Signal Process 23:1180–1204CrossRef Poulimenos AG, Fassois SD (2009) Output-only stochastic identification of a time-varying structure via functional series TARMA models. Mech Syst Signal Process 23:1180–1204CrossRef
2.
Zurück zum Zitat Verboven P, Cauberghe B, Guillaume P, Vanlanduit S, Parloo E (2004) Modal parameter estimation and monitoring for on-line flight flutter analysis. Mech Syst Signal Process 18:587–610CrossRef Verboven P, Cauberghe B, Guillaume P, Vanlanduit S, Parloo E (2004) Modal parameter estimation and monitoring for on-line flight flutter analysis. Mech Syst Signal Process 18:587–610CrossRef
3.
Zurück zum Zitat Xu XZ (2003) Theoretic and experimental study of modal parameter identification of time-varying linear structures. Shanghai Jiaotong University, Shanghai, China Xu XZ (2003) Theoretic and experimental study of modal parameter identification of time-varying linear structures. Shanghai Jiaotong University, Shanghai, China
4.
Zurück zum Zitat Spiridonakos MD, Fassois SD (2009) Parametric identification of a time-varying structure based on vector vibration response measurements. Mech Syst Signal Process 23:2029–2048CrossRef Spiridonakos MD, Fassois SD (2009) Parametric identification of a time-varying structure based on vector vibration response measurements. Mech Syst Signal Process 23:2029–2048CrossRef
5.
Zurück zum Zitat Bosse A, Tasker F, Fisher S (1998) Real-time modal parameter estimation using subspace methods: applications. Mech Syst Signal Process 12:809–823CrossRef Bosse A, Tasker F, Fisher S (1998) Real-time modal parameter estimation using subspace methods: applications. Mech Syst Signal Process 12:809–823CrossRef
6.
Zurück zum Zitat Tasker F, Bosse A, Fisher S (1998) Real-time modal parameter estimation using subspace methods: theory. Mech Syst Signal Process 12:797–808CrossRef Tasker F, Bosse A, Fisher S (1998) Real-time modal parameter estimation using subspace methods: theory. Mech Syst Signal Process 12:797–808CrossRef
7.
Zurück zum Zitat Ghanem R, Romeo F (2000) A wavelet-based approach for the identification of linear time-varying dynamical systems. J Sound Vib 234:555–576MATHCrossRef Ghanem R, Romeo F (2000) A wavelet-based approach for the identification of linear time-varying dynamical systems. J Sound Vib 234:555–576MATHCrossRef
8.
Zurück zum Zitat Roshan-Ghias A, Shamsollahi MB, Mobed M, Behzad M (2007) Estimation of modal parameters using bilinear joint time-frequency distributions. Mech Syst Signal Process 21:2125–2136CrossRef Roshan-Ghias A, Shamsollahi MB, Mobed M, Behzad M (2007) Estimation of modal parameters using bilinear joint time-frequency distributions. Mech Syst Signal Process 21:2125–2136CrossRef
9.
Zurück zum Zitat Xu X, Zhang Z, Hua H, Chen Z (2003) Identification of time-varying modal parameters using linear time-frequency representation. Chinese J Mech Eng 16:445–448 Xu X, Zhang Z, Hua H, Chen Z (2003) Identification of time-varying modal parameters using linear time-frequency representation. Chinese J Mech Eng 16:445–448
10.
Zurück zum Zitat Shi ZY, Law SS, Xu X (2009) Identification of linear time-varying mdof dynamic systems from forced excitation using Hilbert transform and EMD method. J Sound Vib 321:572–589CrossRef Shi ZY, Law SS, Xu X (2009) Identification of linear time-varying mdof dynamic systems from forced excitation using Hilbert transform and EMD method. J Sound Vib 321:572–589CrossRef
11.
Zurück zum Zitat Verboven P (2002) Frequency-domain system identification for modal analysis. Vrije Universiteit Brussel, Brussels Verboven P (2002) Frequency-domain system identification for modal analysis. Vrije Universiteit Brussel, Brussels
12.
Zurück zum Zitat Guillaume P, Hermans L, Van der Auweraer H (1999) Maximum likelihood identification of modal parameters from operational data. In: Proceedings of the 17th international modal analysis conference (IMAC17), Kissimmee, pp 1887–1893 Guillaume P, Hermans L, Van der Auweraer H (1999) Maximum likelihood identification of modal parameters from operational data. In: Proceedings of the 17th international modal analysis conference (IMAC17), Kissimmee, pp 1887–1893
13.
Zurück zum Zitat Brincker R, Zhang LM, Anderson P (2000) Modal identification from ambient response using frequency domain decomposition. In: Proceedings of the 18th IMAC, San Antonio Brincker R, Zhang LM, Anderson P (2000) Modal identification from ambient response using frequency domain decomposition. In: Proceedings of the 18th IMAC, San Antonio
14.
Zurück zum Zitat Guillaume P, Verboven P, Vanlanduit S, Van der auweraer H, Peeters B (2003) A poly-reference implementation of the least-squares complex frequency-domain estimator. In: Proceedings of the international modal analysis conference, IMAC 21, Kissimmee Guillaume P, Verboven P, Vanlanduit S, Van der auweraer H, Peeters B (2003) A poly-reference implementation of the least-squares complex frequency-domain estimator. In: Proceedings of the international modal analysis conference, IMAC 21, Kissimmee
15.
Zurück zum Zitat Van Overschee P, De Moor B (1996) Continuous-time frequency domain subspace system identification. Signal Process 52:179–194MATHCrossRef Van Overschee P, De Moor B (1996) Continuous-time frequency domain subspace system identification. Signal Process 52:179–194MATHCrossRef
16.
Zurück zum Zitat Sejdic E, Djurovic I, Jiang J (2009) Time-frequency feature representation using energy concentration: an overview of recent advances. Digit Signal Process 19:153–183CrossRef Sejdic E, Djurovic I, Jiang J (2009) Time-frequency feature representation using energy concentration: an overview of recent advances. Digit Signal Process 19:153–183CrossRef
17.
Zurück zum Zitat Cohen L (1995) Time-frequency analysis. Prentice Hall, New Jersey Cohen L (1995) Time-frequency analysis. Prentice Hall, New Jersey
18.
Zurück zum Zitat Oppenheim AV, Schafer RW (1975) Digital signal processing. Prentice-Hall, Englewood Cliffs Oppenheim AV, Schafer RW (1975) Digital signal processing. Prentice-Hall, Englewood Cliffs
19.
Zurück zum Zitat Van Huffel S, Vandewalle J (1991) The total least squares problem: computational aspects and analysis. Society for Industrial Mathematics, PhiladelphiaMATHCrossRef Van Huffel S, Vandewalle J (1991) The total least squares problem: computational aspects and analysis. Society for Industrial Mathematics, PhiladelphiaMATHCrossRef
20.
Zurück zum Zitat Gautschi W (2004) Orthogonal polynomials: computation and approximation. Oxford University Press, OxfordMATH Gautschi W (2004) Orthogonal polynomials: computation and approximation. Oxford University Press, OxfordMATH
Metadaten
Titel
Time-Frequency Domain Modal Parameter Estimation of Time-Varying Structures Using a Two-Step Least Square Estimator
verfasst von
Si-Da Zhou
Ward Heylen
Paul Sas
Li Liu
Copyright-Jahr
2012
Verlag
Springer New York
DOI
https://doi.org/10.1007/978-1-4614-2425-3_8

    Marktübersichten

    Die im Laufe eines Jahres in der „adhäsion“ veröffentlichten Marktübersichten helfen Anwendern verschiedenster Branchen, sich einen gezielten Überblick über Lieferantenangebote zu verschaffen.