1 |
Ciambella, J., Pau, A. and Vestroni, F. (2019), "Modal curvature-based damage localization in weakly damaged continuous beams", Mech. Syst. Signal Process., 121, 171-182. https://doi.org/10.1016/j.ymssp.2018.11.012
DOI
|
2 |
Deraemaeker, A. and Worden, K. (2010), New Trends in Vibration Based Structural Health Monitoring, Springer, New York, USA.
|
3 |
Dessi, D. and Camerlengo, G. (2015), "Damage identification techniques via modal curvature analysis: overview and comparison", Mech. Syst. Signal Process., 52, 181-205. https://doi.org/10.1016/j.ymssp.2014.05.031
DOI
|
4 |
Fan, W. and Qiao, P. (2011), "Vibration-based damage identification methods: a review and comparative study", Struct. Health Monitor., 10(1), 83-111. https://doi.org/10.1177/1475921710365419
DOI
|
5 |
Ghiasi, R., Ghasemi, M.R. and Chan, T.H. (2021), "Optimum feature selection for SHM of benchmark structures using efficient AI mechanism", Smart Struct. Syst., Int. J., 27(4), 623-640. https://doi.org/10.12989/sss.2021.27.4.623
DOI
|
6 |
Giraldo, D.F., Song, W., Dyke, S.J. and Caicedo, J.M. (2009), "Modal identification through ambient vibration: comparative study", J. Eng. Mech., 135(8), 759-770. https://doi.org/10.1061/(ASCE)0733-9399(2009)135:8(759)
DOI
|
7 |
Hyvarinen, A. and Oja, E. (2000), "Independent component analysis: algorithms and applications", Neural Networks, 13(4-5), 411-430. https://doi.org/10.1016/S0893-6080(00)00026-5
DOI
|
8 |
Kerschen, G., Poncelet, F. and Golinval, J.C. (2007), "Physical interpretation of independent component analysis in structural dynamics", Mech. Syst. Signal Process., 21(4), 1561-1575. https://doi.org/10.1016/j.ymssp.2006.07.009
DOI
|
9 |
Goyal, D. and Pabla, B.S. (2016), "The vibration monitoring methods and signal processing techniques for structural health monitoring: a review", Arch. Computat. Methods Eng., 23(4), 585-594. https://doi.org/10.1007/s11831-015-9145-0
DOI
|
10 |
Prajapat, K. and Ray-Chaudhuri, S. (2018), "Detection of multiple damages employing best achievable eigenvectors under Bayesian inference", J. Sound Vib., 422, 237-263. https://doi.org/10.1016/j.jsv.2018.02.012
DOI
|
11 |
Abed-Meraim, K., Xiang, Y., Manton, J.H. and Hua, Y. (2001), "Blind source-separation using second-order cyclostationary statistics", IEEE Transact. Signal Process., 49(4), 694-701. https://doi.org/10.1109/78.912913
DOI
|
12 |
Beck, J.L. and Katafygiotis, L.S. (1998), "Updating models and their uncertainties. I: Bayesian statistical framework", J. Eng. Mech., 124(4), 455-461. https://doi.org/10.1061/(ASCE)0733-9399(1998)124:4(455)
DOI
|
13 |
Belouchrani, A. and Amin, M.G. (1998), "Blind source separation based on time-frequency signal representations", IEEE Transact. Signal Process., 46(11), 2888-2897. https://doi.org/10.1109/78.726803
DOI
|
14 |
Belouchrani, A., Abed-Meraim, K., Cardoso, J.F. and Moulines, E. (1997), "A blind source separation technique using second-order statistics", IEEE Transact. Signal Process., 45(2), 434-444. https://doi.org/10.1109/78.554307
DOI
|
15 |
Bouguerriou, N., Haritopoulos, M., Capdessus, C. and Allam, L. (2005), "Novel cyclostationarity-based blind source separation algorithm using second order statistical properties: theory and application to the bearing defect diagnosis", Mech. Syst. Signal Process., 19(6), 1260-1281. https://doi.org/10.1016/j.ymssp.2005.07.007
DOI
|
16 |
Brownjohn, J.M., De Stefano, A., Xu, Y.L., Wenzel, H. and Aktan, A.E. (2011), "Vibration-based monitoring of civil infrastructure: challenges and successes", J. Civil Struct. Health Monitor., 1(3-4), 79-95. https://doi.org/10.1007/s13349-011-0009-5
DOI
|
17 |
Bull, L.A., Worden, K., Fuentes, R., Manson, G., Cross, E.J. and Dervilis, N. (2019), "Outlier ensembles: a robust method for damage detection and unsupervised feature extraction from high-dimensional data", J. Sound Vib., 453, 126-150. https://doi.org/10.1016/j.jsv.2019.03.025
DOI
|
18 |
Carden, E.P. and Fanning, P. (2004), "Vibration based condition monitoring: a review", Struct. Health Monitor., 3(4), 355-377. https://doi.org/10.1177/1475921704047500
DOI
|
19 |
Yang, Y.B. and Chen, W.F. (2016), "Extraction of bridge frequencies from a moving test vehicle by stochastic subspace identification", J. Bridge Eng., 21(3), 04015053. https://doi.org/10.1061/(ASCE)BE.1943-5592.0000792
DOI
|
20 |
He, C., Li, H. and Zhao, X. (2018), "Weak characteristic determination for blade crack of centrifugal compressors based on underdetermined blind source separation", Measurement, 128, 545-557. https://doi.org/10.1016/j.measurement.2018.06.047
DOI
|
21 |
Vanlanduit, S., Parloo, E., Cauberghe, B., Guillaume, P. and Verboven, P. (2005), "A robust singular value decomposition for damage detection under changing operating conditions and structural uncertainties", J. Sound Vib., 284(3-5), 1033-1050. https://doi.org/10.1016/j.jsv.2004.07.016
DOI
|
22 |
Antoni, J. and Chauhan, S. (2013), "A study and extension of second-order blind source separation to operational modal analysis", J. Sound Vib., 332(4), 1079-1106. https://doi.org/10.1016/j.jsv.2012.09.016
DOI
|
23 |
Sohn, H. and Law, K.H. (1997), "A Bayesian probabilistic approach for structure damage detection", Earthq. Eng. Struct. Dyn., 26(12), 1259-1281. https://doi.org/10.1002/(SICI)1096-9845(199712)26:12<1259::AID-EQE709>3.0.CO;2-3
DOI
|
24 |
Yang, Y. and Nagarajaiah, S. (2014), "Blind identification of damage in time-varying systems using independent component analysis with wavelet transform", Mech. Syst. Signal Process., 47(1-2), 3-20. https://doi.org/10.1016/j.ymssp.2012.08.029
DOI
|
25 |
Yeredor, A. (2000), "Blind separation of Gaussian sources via second-order statistics with asymptotically optimal weighting", IEEE Signal Process. Lett., 7(7), 197-200. https://doi.org/10.1109/97.847367
DOI
|
26 |
Li, H. and Ou, J. (2016), "The state of the art in structural health monitoring of cable-stayed bridges", J. Civil Struct. Health Monitor., 6(1), 43-67. https://doi.org/10.1007/s13349-015-0115-x
DOI
|
27 |
Ying, Z.G., Ni, Y.Q. and Kang, L. (2019), "Mode localization characteristics of damaged quasiperiodically supported beam structures with local weak coupling", Struct. Control Health Monitor., 26(6), e2351. https://doi.org/10.1002/stc.2351
DOI
|
28 |
Zhang, F.L., Ni, Y.Q., Ni, Y.C. and Wang, Y.W. (2016), "Operational modal analysis of Canton Tower by a fast frequency domain Bayesian method", Smart Struct. Syst., Int. J., 17(2), 209-230. http://dx.doi.org/10.12989/sss.2016.17.2.209
DOI
|
29 |
Ko, J.M. and Ni, Y.Q. (2005), "Technology developments in structural health monitoring of large-scale bridges", Eng. Struct., 27(12), 1715-1725. https://doi.org/10.1016/j.engstruct.2005.02.021
DOI
|
30 |
Li, H.N., Ren, L., Jia, Z.G., Yi, T.H. and Li, D.S. (2016), "State-of-the-art in structural health monitoring of large and complex civil infrastructures", J. Civil Struct. Health Monitor., 6(1), 3-16. https://doi.org/10.1007/s13349-015-0108-9
DOI
|
31 |
Seo, J., Hu, J.W. and Lee, J. (2016), "Summary review of structural health monitoring applications for highway bridges", J. Perform. Constr. Facil., 30(4), 04015072. https://doi.org/10.1061/(ASCE)CF.1943-5509.0000824
DOI
|
32 |
Brewick, P.T. and Smyth, A.W. (2017), "Increasing the efficiency and efficacy of second-order blind identification (SOBI) methods", Struct. Control Health Monitor., 24(6), e1921. https://doi.org/10.1002/stc.1921
DOI
|
33 |
Kay, S.M. (1984), "Accurate frequency estimation at low signal-to-noise ratio", IEEE Transact. Acoust. Speech Signal Process., 32(3), 540-547. https://doi.org/10.1109/TASSP.1984.1164358
DOI
|
34 |
Rainieri, C., Magalhaes, F., Gargaro, D., Fabbrocino, G. and Cunha, A. (2019), "Predicting the variability of natural frequencies and its causes by Second-Order Blind Identification", Struct. Health Monitor., 18(2), 486-507. https://doi.org/10.1177/1475921718758629
DOI
|
35 |
Sadhu, A. and Narasimhan, S. (2014), "A decentralized blind source separation algorithm for ambient modal identification in the presence of narrowband disturbances", Struct. Control Health Monitor., 21(3), 282-302. https://doi.org/10.1002/stc.1558
DOI
|
36 |
Sadhu, A., Narasimhan, S. and Antoni, J. (2017), "A review of output-only structural mode identification literature employing blind source separation methods", Mech. Syst. Signal Process., 94, 415-431. https://doi.org/10.1016/j.ymssp.2017.03.001
DOI
|
37 |
Spencer, B.F., Ruiz-Sandoval, M.E. and Kurata, N. (2004), "Smart sensing technology: opportunities and challenges", Struct. Control Health Monitor., 11(4), 349-368. https://doi.org/10.1002/stc.48
DOI
|
38 |
Moughty, J.J. and Casas, J.R. (2017), "A state of the art review of modal-based damage detection in bridges: development, challenges, and solutions", Appl. Sci., 7(5), 510. https://doi.org/10.3390/app7050510
DOI
|
39 |
Li, G., Tang, G., Wang, H. and Wang, Y. (2019), "Blind source separation of composite bearing vibration signals with low-rank and sparse decomposition", Measurement, 145, 323-334. https://doi.org/10.1016/j.measurement.2019.05.099
DOI
|
40 |
McNeill, S.I. and Zimmerman, D.C. (2008), "A framework for blind modal identification using joint approximate diagonalization", Mech. Syst. Signal Process., 22(7), 1526-1548. https://doi.org/10.1016/j.ymssp.2008.01.010
DOI
|
41 |
Tong, L., Soon, V.C., Huang, Y.F. and Liu, R. (1990), "AMUSE: a new blind identification algorithm", Proceeding of IEEE International Symposium on Circuits and Systems, New Orleans, LA, USA.
|
42 |
Vanik, M.W., Beck, J.L. and Au, S.K. (2000), "Bayesian probabilistic approach to structural health monitoring", J. Eng. Mech., 126(7), 738-745. https://doi.org/10.1061/(ASCE)0733-9399(2000)126:7(738)
DOI
|
43 |
Weng, J.H., Loh, C.H. and Yang, J.N. (2009), "Experimental study of damage detection by data-driven subspace identification and finite-element model updating", J. Struct. Eng., 135(12), 1533-1544. https://doi.org/10.1061/(ASCE)ST.1943-541X.0000079
DOI
|
44 |
Wu, W.H., Jhou, J.W., Chen, C.C. and Lai, G. (2019), "A novel recursive stochastic subspace identification algorithm with its application in long-term structural health monitoring of office buildings", Smart Struct. Syst., Int. J., 24(4), 459-474. https://doi.org/10.12989/sss.2019.24.4.459
DOI
|
45 |
Musafere, F., Sadhu, A. and Liu, K. (2016), "Towards damage detection using blind source separation integrated with time-varying auto-regressive modeling", Smart Mater. Struct., 25(1), 015013. https://doi.org/10.1088/0964-1726/25/1/015013
DOI
|
46 |
Nagarajaiah, S. and Yang, Y. (2015), "Blind modal identification of output-only non-proportionally-damped structures by timefrequency complex independent component analysis", Smart Struct. Syst., Int. J., 15(1), 81-97. http://dx.doi.org/10.12989/.2015.15.1.081
DOI
|
47 |
Overschee, P.V. and Moor, B.D. (1996), Subspace Identification for Linear Systems: Theory Implementation Application, Kluwer Academic Publishers, Netherlands.
|
48 |
Parra, L. and Sajda, P. (2003), "Blind source separation via generalized eigenvalue decomposition", J. Mach. Learn. Res., 4, 1261-1269. https://doi.org/10.1162/jmlr.2003.4.7-8.1261
DOI
|
49 |
Peeters, B. and De Roeck, G. (2001), "Stochastic system identification for operational modal analysis: a review", J. Dyn. Syst. Measure. Control, 123(4), 659-667. https://doi.org/10.1115/1.1410370
DOI
|