Output-only modal analysis using blind source separation techniques

Poncelet, Fabien; Kerschen, Gaëtan; Golinval, Jean-Claude; Verhelst, Damien

doi:10.1016/j.ymssp.2006.12.005

Request a copy

Article (Scientific journals)

Output-only modal analysis using blind source separation techniques

Poncelet, Fabien; Kerschen, Gaëtan; Golinval, Jean-Claude et al.

2007 • In Mechanical Systems and Signal Processing, 21 (6), p. 2335-2358

Peer Reviewed verified by ORBi

Permalink
https://hdl.handle.net/2268/2766

DOI
10.1016/j.ymssp.2006.12.005

Files (1)Send to Details Statistics Bibliography Similar publications

Files

Full Text

MSSP_Poncelet_2007.pdf

Publisher postprint (1.45 MB)

Request a copy

All documents in ORBi are protected by a user license.

Send to

RIS BibTex APA Chicago Permalink X Linkedin

Details

Keywords :

blind source separation; system identification; modal analysis; independent component analysis; second-order blind identification

Abstract :

[en] The present study carries out output-only modal analysis using two blind source separation (BSS) techniques, namely independent component analysis and second-order blind identification. The concept of virtual source is exploited and renders the application of these BSS techniques possible. The proposed modal analysis method is illustrated using numerical and experimental examples. (c) 2007 Elsevier Ltd. All rights reserved.

Disciplines :

Mechanical engineering

Author, co-author :

Poncelet, Fabien ; Université de Liège - ULiège > Département d'aérospatiale et mécanique > LTAS - Vibrations et identification des structures

Kerschen, Gaëtan ; Université de Liège - ULiège > Département d'aérospatiale et mécanique > Laboratoire de structures et systèmes spatiaux

Golinval, Jean-Claude ; Université de Liège - ULiège > Département d'aérospatiale et mécanique > LTAS - Vibrations et identification des structures

Verhelst, Damien; Techspace Aero sa

Language :

English

Title :

Output-only modal analysis using blind source separation techniques

Publication date :

2007

Journal title :

Mechanical Systems and Signal Processing

ISSN :

0888-3270

eISSN :

1096-1216

Publisher :

Academic Press Ltd Elsevier Science Ltd, London, United Kingdom

Volume :

Issue :

Pages :

2335-2358

Peer reviewed :

Peer Reviewed verified by ORBi

Available on ORBi :

since 27 November 2009

Statistics

Number of views

104 (9 by ULiège)

Number of downloads

3 (1 by ULiège)

More statistics

Scopus citations^®

269

Scopus citations^®
without self-citations

259

OpenCitations

188

OpenAlex citations

244

Bibliography

Back A.D., and Weigend A.S. A first application of independent component analysis to extracting structure from stock returns. International Journal of Neural Systems 8 (1997) 473-484
Patanchon G., Delabrouille J., and Cardoso J.F. Source separation on astrophysical data sets from the WMAP satellite. Lecture Notes in Computer Science vol. 3195 (2004) 1221-1228
Jung T.P., Makeig S., McKeown M.J., Bell A.J., Lee T.W., and Sejnowski T.J. Imaging brain dynamics using independent component analysis. Proceedings of the IEEE 89 (2001) 1107-1122
Hyvarinen A., and Oja E. Independent component analysis: algorithms and applications. Neural Networks 13 (2000) 411-430
Zang C., Friswell M.I., and Imregun M. Structural damage detection using independent component analysis. Structural Health Monitoring 3 (2004) 69-83
Roan M.J., Erling J.G., and Sibul L.H. A new, non-linear, adaptive, blind source separation approach to gear tooth failure detection and analysis. Mechanical Systems and Signal Processing 16 (2002) 719-740
Servière C., and Fabry P. Blind source separation of noisy harmonic signals for rotating machine diagnosis. Journal of Sound and Vibration 272 (2004) 317-339
Antoni J., Garibaldi L., Marchesiello S., and Sidahmed M. New separation techniques for output-only modal analysis. Shock and Vibration 11 (2004) 227-242
Antoni J., and Braun S. Special issue on blind source separation: editorial. Mechanical Systems and Signal Processing 19 (2005) 1163-1165
Antoni J. Blind separation of vibration components: principles and demonstration. Mechanical Systems and Signal Processing 19 (2005) 1166-1180
G. Kerschen, F. Poncelet, J.C. Golinval, Physical interpretation of independent component analysis in structural dynamics, Mechanical Systems and Signal Processing, 2006, in press, doi:10.1016/j.ymssp.2006.07.009.
Belouchrani A., Abed-Meraim K., Cardoso J.F., and Molines E. A blind source separation technique using second-order statistics. IEEE Transactions on Signal Processing 45 (1997) 434-444
Thi H.L.N., and Jutten C. Blind source separation for convolutive mixtures. Signal Processing 45 (1995) 209-229
Storck J., and Deco G. Nonlinear independent component analysis and multivariate time series analysis. Physica D 108 (1997) 335-349
Jutten C., and Herault J. Blind separation of sources; 1. an adaptive algorithm based on neuromimetic architecture. Signal Processing 24 (1991) 1-10
Comon P. Independent component analysis: a new concept ?. Signal Processing 36 (1994) 287-314
Pham D.T., Garrat P., and Jutten C. Separation of a mixture of independent sources through a maximum likelihood approach. Proceedings of the EUSIPCO Conference (1992)
Bell A., and Sejnowski T. An information-maximization approach to blind separation and blind deconvolution. Neural Computation 7 (1995) 1129-1159
De Lathauwer L., De Moor B., and Vandewalle J. Blind source separation by simultaneous third-order tensor diagonalization. Proceedings of the EUSIPCO Conference. Trieste (1996)
Hyvarinen A., Karhunen J., and Oja E. Independent Component Analysis (2001), Wiley, New York, NY
Cardoso J.F. Blind source separation: statistical principles. Proceedings of the IEEE 86 (1998) 2009-2025
Cardoso J.F., and Souloumiac A. Jacobi angles for simultaneous diagonalization. SIAM Journal of Matrix Analysis and Applications 17 (1996) 161-164
Tong L., Liu R.W., Soon V.C., and Huang Y.F. Indeterminacy and identifiability of blind identification. IEEE Transactions on Circuits and Systems 38 (1991) 499-509
Géradin M., and Rixen D. Mechanical Vibrations, Theory and Application to Structural Dynamics (1994), Masson, Paris
Ziehe A., and Muller K.R. TDSEP-an efficient algorithm for blind separation using time structure. Proceedings of ICANN98 (1998) 675-680
Van Overschee P., and De Moor B. Subspace Identification for Linear Systems: Theory, Implementation, Applications (1996), Kluwer Academic Publishers, Dordrecht
Jolliffe I.T. Principal Component Analysis (1986), Springer, New York, NY