Output-only subspace-based structural identification: From theory to industrial testing practice

Journal of Dynamic Systems, Measurement and Control, Transactions of the ASME

Volumn 123, Issue 4, 2001, Pages 668-676

  Basseville, Michèle ^a   Benveniste, Albert ^a   Goursat, Maurice ^b   Hermans, Luc ^c   Mevel, Laurent ^a   Van der Auweraer, Herman ^c  

^a CAMPUS DE BEAULIEU   (France)

^b INRIA   (France)

^c LMS INTERNATIONAL   (Belgium)

Author keywords

In operation output only structural identification; Multiple sensor setups; Nonstationary excitation; Subspace based stochastic identification methods

Indexed keywords

EID: 0000961573     PISSN: 00220434     EISSN: 15289028     Source Type: Journal    
DOI: 10.1115/1.1410919     Document Type: Article

References (36)

1. [1] Zimmerman, H., and Destuynder, R., 1982, “Flight Flutter Testing with Emphasis on the Tip Vane Method,” Proceedings, AGARD Conf. 339 on Ground Flight Testing & Correlation.
2. Schippers, P., and Persoon, A. J., 1995, “Flight Flutter Testing of a Turbo Prop Aircraft by using External Excitation Devices,” Proceedings, AGARD Conf. 566 on Advanced Aero servo elastic Testing and Data Analysis, Rotterdam (NL), pp. 3.1-3.11.
3. De Vis, D., Gielen, L., Verhoeven, J., Nordmann, R., and Neumer, T., 1992, “Indirect identification of fluid structure interaction forces in boilerfeed pumps,” Proceedings, 10th International Modal Analysis Conference, San Diego (CA), pp. 47-53.
4. Ewins, D. J., 1984, Modal Testing: Theory and Practice, Research Studies Press, Letchworth, Hertfordshire, UK.
5. Juang, J. N., 1994, Applied System Identification, Prentice Hall, Englewood Cliffs, NJ.
6. De Roeck, G., Peeters, B., and Ren, W.-X., 2000, “Benchmark study on system identification through ambient vibration measurements,” Proceedings, 18th International Modal Analysis Conference, San Antonio, TX, pp. 1106-1112.
7. Viberg, M., 1995, “Subspace-based methods for the identification of linear time-invariant systems,” Automatica, 31, No. 12, pp. 1835-1853.
8. Van Overschee, P., and De Moor, B., 1996, Subspace Identification for Linear Systems: Theory-Implementation-Applications, Kluwer Academic Publishers.
9. Van Overschee, P., and De Moor, B., 1994, “n4sid: Subspace algorithms for the identification of combined deterministic-stochastic systems,” Automatica, 30, No. 2, pp. 75-93.
10. Viberg, M., Wahlberg, B., and Ottersten, B., 1997, “Analysis of state space system identification methods based on instrumental variables and subspace fitting,” Automatica, 33, No. 9, pp. 1603-1616.
11. Peeters, B., and De Roeck, G., 1999, “Reference-based stochastic subspace identification for output-only modal analysis,” Mech. Syst. Signal Process., 13, No. 6, pp. 855-878.
12. Prevosto, M., Olagnon, M., Benveniste, A., Basseville, M., and LeVey, G., 1991, “State-space formulation, a solution to modal parameter estimation,” J. Sound Vib., 148, pp. 329-342.
13. Stoica, P., and Moses, R. L., 1997, Introduction to Spectral Analysis, Prentice Hall.
14. Akaike, H., 1974, “Stochastic theory of minimal realization,” IEEE Trans. Autom. Control, AC-19, pp. 667-674.
15. Benveniste, A., and Fuchs, J.-J., 1985, “Single sample modal identification of a non stationary stochastic process,” IEEE Trans. Autom. Control, AC-30, pp. 66-74.
16. Akaike, H., 1973, “Markovian representation of stochastic processes by canonical variables,” SIAM J. Control, 13, pp. 162-173.
17. Basseville, M., Abdelghani, M., and Benveniste, A., 2000, “Subspace-based fault detection algorithms for vibration monitoring,” Automatica, 36, pp. 101 -109.
18. Arun, K. S., and Kung, S. Y, 1986, “Generalized principal components analysis and its application in approximate stochastic realization,” Modeling and Application of Stochastic Processes, U. B. Desai, ed., Kluwer Academic Publishers, pp. 75-103.
19. Mevel, L., Benveniste, A., Basseville, M., and Goursat, M., 2000, “Blind subspace-based eigenstructure identification under nonstationary excitation using moving sensors,” IRISA Research Report no 1354, http://www.irisa.fr/bibli/publi/pi/2000/1354/1354.html.
20. Abdelghani, M., Goursat, M., Biolchini, T., Hermans, L., and Vander Auwer-aer, H., 1999, “Performance of output-only identification algorithms for modal analysis of aircraft structures,” Proceedings, 17th International Modal Analysis Conference, Kissimmee, FL, pp. 224-230.
21. Hermans, L., and Van der Auweraer, H., 1999, “Modal testing and analysis of structures under operational conditions: industrial applications,” Mech. Syst. Signal Process., 13, No. 2, pp. 193-216.
22. Basseville, M., Benveniste, A., Gach-Devauchelle, B., Goursat, M., Bonn-ecase, D., Dorey, P., Prevosto, M., and Olagnon, M., 1993, “Damage monitoring in vibration mechanics: issues in diagnostics and predictive maintenance,” Mech. Syst. Signal Process., 7, No. 5, pp. 401-423.
23. Goursat, M., Basseville, M., Benveniste, A., and Mevel, L., 2000, “A Sci lab toolbox for output only modal analysis and diagnosis,” Proceedings, 18th International Modal Analysis Conference, San Antonio (TX). ftp://ftp.inria.fr/INRIA/Projects/Meta2/Scilab/contrib/MODAL.
24. Allemang, R. J., and Brown, D. L., 1998, “A unified matrix polynomial approach to modal identification,” J. Sound Vib., 211, pp. 301-322.
25. Van der Auweraer, H., Leurs, W., Mas, P., and Hermans, L., 2000, “Modal parameter estimation from inconsistent data sets,” Proceedings, 18th International Modal Analysis Conference, San Antonio, TX, pp. 763-771.
26. Abdelghani, M., Goursat, M., and Biolchini, T., 1999, “On-line monitoring of aircraft structures under unknown excitation,” Mech. Syst. Signal Process., 13, No. 6, pp. 839-853.
27. Ottersten, B., Viberg, M., and Kailath, T., 1992, “Analysis of subspace fitting and ML techniques for parameter estimation,” IEEE Trans. Signal Process., 40, pp. 590-599.
28. Bauer, D., Deistler, M., and Scherrer, W., 1999, “Consistency and asymptotic normality of some subspace algorithms for systems without observed inputs,” Automatica, 35, pp. 1243-1254.
29. Benveniste, A., Basseville, M., and Mevel, L., 2000, “Convergence rates for eigenstructure identification using subspace methods,” Proceedings, 39th IEEE Conference on Decision and Control, Sydney, Australia.
30. Uhl, T., Bochniak, W., Lisowski, W., Hermans, L., Van der Auweraer, H., and Malecki, J., 1999, “FE-model correlation of a helicopter using ground test results,” Proceedings, 17th International Modal Analysis Conference, Kissimmee, FL, pp. 940-946.
31. Lisowski, W., Uhl, T., Malecki, J., Hermans, L., and Van der Auweraer, H., 2000, “Investigation of structural dynamics properties of helicopter airframe,” Proceedings, ISMA 25, Leuven (B), pp. 627-634.
32. Peeters, B., and De Roeck, G., 2000, “One year monitoring of the Z24-bridge: environmental effects versus damage events,” Proceedings, 18th International Modal Analysis Conference, San Antonio, TX, pp. 1570-1576.
33. Mevel, L., Hermans, L., and Van der Auweraer, H., 1999, “Application of a subspace-based fault detection method to industrial structures,” Mech. Syst. Signal Process., 13, No. 6, pp. 823-838.
34. Basseville, M., 1998, “On-board component fault detection and isolation using the statistical local approach,” Automatica, 34, No. 11, pp. 1391-1416.
35. Basseville, M., and Nikiforov, I. V., 1993, Detection of Abrupt Changes-Theory and Applications, Prentice Hall, Englewood Cliffs, N.J. http://www.irisa.fr/sigma2/kniga.
36. Gach-Devauchelle, B., 1991, “Diagnostic Mecanique des Fatigues sur les Structures Soumises a des Vibrations en Ambiance de Travail,” Thesis, Paris IX Dauphine University (in French).