1 |
Caicedo, J.M., Dyke, S.J. and Johnson, E.A. (2004), "Natural excitation technique and eigensystem realization algorithm for phase I of the IASC-ASCE benchmark problem: Simulated data", J. Eng. Mech. - ASCE, 130(1), 49-60.
DOI
|
2 |
Doebling, S.W., Farrar, C.R., Prime, M.B. and Shevitz, D.W. (1996), "Damage identification and health monitoring of structural and mechanical systems from changes in their vibration characteristics: A literature review", Research Rep. No. LA-13070-MS, ESA-EA, Los Alamos National Laboratory, N.M..
|
3 |
Hua, Y. and Sarkar, T.K. (1989), "Generalized pencil-of-function method for extracting poles of an EM system from its transient response", IEEE T. Antenn. Propag., 37(2), 229-234.
DOI
|
4 |
Hua, Y. and Sarkar, T.K. (1990), "A perturbation property of the TLS-LP method", IEEE T. Acoustics, Speech Signal Pr., ASSP-38, 2004-2005.
|
5 |
Hua, Y. and Sarkar, T.K. (1990), "On the total least squares linear prediction method for frequency estimation", IEEE T. Acoustics, Speech Signal Pr., ASSP-38, 2186-2189.
|
6 |
Ibrahim, S.R. and Mikulcik, E.C. (1977), "A Method for the direct identification of vibration parameters from the free response", Shock Vib. Bulletin, 47(4), 183-198.
|
7 |
James, G.H., Carne, T.G. and Lauffer, J.P. (1995), "The Natural Excitation Technique (NExT) for modal parameter extraction form operating structures", Modal Analysis: the Int. J. Anal. Exp. Modal Anal., 10(4), 260-277.
|
8 |
Johnson, E.A., Lam, H.F., Katafygiotis, L.S. and Beck, J. (2004), "Phase I IASC-ASCE structural health monitoring benchmark problem using simulated data", J. Eng. Mech. - ASCE, 130(1), 3-15.
DOI
|
9 |
Juang, J.N. and Pappa, R.S. (1985), "An eigensystem realization algorithm for modal parameter identification and model reduction", J. Guid. Control Dynam., 8, 620-627.
DOI
|
10 |
Nagarajaiah, S. and Erazo, K. (2016), "Structural monitoring and identification of civil infrastructure in the United States", Struct. Monit. Maint., 3(1), 51-69.
DOI
|
11 |
Nagarajaiah, S. and Yang, Y. (2016), "Modeling and harnessing sparse and low-rank data structure: A new paradigm for structural dynamics, identification, damage detection, and health monitoring", Struct. Control Health Monit., DOI: 10.1002/stc.1851.
DOI
|
12 |
Yang, J.N., Lei, Y., Pan, S. and Huang, N. (2003), "System identification of linear structures based on Hilbert-Huang spectral analysis. Part 1: normal modes", Earthq. Eng. Struct. D., 32, 1443-1467.
DOI
|
13 |
Nagarjaiah, S. and Basu, B. (2009), "Output only modal identification and structural damage detection using time frequency & wavelet techniques", Earthq. Eng. Eng. Vib., 8(4), 583-605, doi:10.1007/s11803-009-9120-6
DOI
|
14 |
Salawu, O.S. (1997), "Dectection of structural damage through changes in frequency: a review", Eng. Struct., 19(9), 718-723.
DOI
|
15 |
Sarkar, T.K. and Pereira, O. (1995), "Using the matrix pencil method to estimate the parameters of a sum of complex exponentials", IEEE Antenn. Propag. M., 37(1), 48-55.
DOI
|
16 |
Yang, Y. and Nagarajaiah, S. (2013), "Output-only modal identification with limited sensors using sparse component analysis", J. Sound Vib., 332(19), 4741-4765. DOI: 10.1016/j.jsv.2013.04.004
DOI
|