1 |
Abazarsa, F., Nateghi, F., Ghahari, S.F. and Taciroglu, E. (2016), "Extended blind modal identification technique for nonstationary excitations and its verification and validation", J. Eng. Mech., 142(2), 04015078. https://doi.org/10.1061/(ASCE)EM.1943-7889.0000990
DOI
|
2 |
Amini, F. and Ghasemi, V. (2018), "Adaptive modal identification of structures with equivariant adaptive separation via independence approach", J. Sound Vib., 413, 66-78. https://doi.org/10.1016/j.jsv.2017.09.033
DOI
|
3 |
Azam, S.E. and Mariani, S. (2018), "Online damage detection in structural systems via dynamic inverse analysis: A recursive Bayesian approach", Eng. Struct., 159, 28-45. https://doi.org/10.1016/j.engstruct.2017.12.031
DOI
|
4 |
Azam, S.E., Attari, N.K.A. and Mariani, S. (2017), "Online damage detection via a synergy of proper orthogonal decomposition and recursive Bayesian filters", Nonlinear Dyn., 89(2), 1489-1511. https://doi.org/10.1007/s11071-017-3530-1
DOI
|
5 |
Azergui, M., Abenaou, A. and Bouzahir, H. (2018), "A Teager-Kaiser Energy Operator and Wavelet Packet Transform for Bearing Fault Detection", Smart Science, 6(3), 227-233. https://doi.org/10.1080/23080477.2018.1460892
|
6 |
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., 130(1), 49-60. https://doi.org/10.1061/(ASCE)0733-9399(2004)130:1(49)
DOI
|
7 |
Rageh, A., Azam, S.E. and Linzell, D.G. (2020), "Steel railway bridge fatigue damage detection using numerical models and machine learning: Mitigating influence of modeling uncertainty", Int. J. Fatigue, 134, 105458. https://doi.org/10.1016/j.ijfatigue.2019.105458
DOI
|
8 |
Rainieri, C. (2014), "Perspectives of Second-Order Blind Identification for Operational Modal Analysis of Civil Structures", Shock Vib., Article ID 845106, 9 pages. https://doi.org/10.1155/2014/845106
|
9 |
Ramazani, S. and Bahar, O. (2015), "EMD-based outputonly identification of mode shapes of linear structures", Smart Struct. Syst., Int. J., 16(5), 919-935. https://doi.org/10.12989/sss.2015.16.5.919
DOI
|
10 |
Sadhu, A., Hazra, B. and Narasimhan, S. (2014), "Ambient modal identification of structures equipped with tuned mass dampers using parallel factor blind source separation", Smart Struct. Syst., Int. J., 13(2), 257-280. https://doi.org/10.12989/sss.2014.13.2.257
DOI
|
11 |
Sadhu, A., Prakash, G. and Narasimhan, S. (2016), "A hybrid hidden Markov model towards fault detection of rotating components", J. Vib. Control, 23(19), 3175-3195. https://doi.org/10.1177/1077546315627934
DOI
|
12 |
Samadi, S., Babaie-Zadeh, M., Jutten, C. and Nayebi, K. (2004), "Blind source separation by adaptive estimation of score function difference", Proceedings of the 5th International Conference on Independent Component Analysis and Blind Signal Separation, Granada, Spain, pp. 22-24. https://doi.org/10.1007/978-3-540-30110-3_2
|
13 |
Santos, A., Figueiredo, E., Silva, M.F.M., Sales, C.S. and Costa, J.C.W.A. (2016), "Machine learning algorithms for damage detection: Kernel-based approaches", J. Sound Vib., 363, 584-599. https://doi.org/10.1016/j.jsv.2015.11.008
DOI
|
14 |
Song, M., Astroza, R., Ebrahimian, H., Moaveni, B. and Papadimitriou, C. (2020), "Adaptive Kalman filters for 12nonlinear finite element model updating", Mech. Syst. Signal Process, 143, 106837. https://doi.org/10.1016/j.ymssp.2020.106837
DOI
|
15 |
Cao, M., Radzienski, M., Xu, W. and Ostachowicz, W. (2014), "Identification of multiple damages in beams based on robust curvature mode shapes", Mech. Syst. Signal Process., 46(2), 468-480. https://doi.org/10.1016/j.ymssp.2014.01.004
DOI
|
16 |
Cardoso, J.-F. and Laheld, B.H. (1996), "Equivariant adaptive source separation", IEEE Transection Signal Process., 44(2), 3017-3030. https://doi.org/10.1109/78.553476
DOI
|
17 |
Chase, J.G., Begoca, V. and Barroso, L. (2005a), "Efficient structural health monitoring for a benchmark structure using adaptive RLS filters", Comput. Struct., 83(8-9), 639-647. https://doi.org/10.1016/j.compstruc.2004.11.005
DOI
|
18 |
Chase, J.G, Leo Hwang, K., Barroso, L.R. and Mander, J.B. (2005b), "A simple LMS-based approach to the structural health monitoring benchmark problem", J. Earthq. Eng. Struct. Dyn. (EESD), 34(6), 575-594. https://doi.org/10.1002/eqe.433
DOI
|
19 |
Chu, S.-Y. and Lo, S.‐C, (2011), "Application of the on-line recursive least-squares method to perform structural damage assessment", Struct. Control Health Monit., 18(3), 241-264. https://doi.org/10.1002/stc.362
DOI
|
20 |
Comon, P. (1989), "Separation of stochastic processes", Proceedings of the Workshop Higher Order Spectral Analaysis, Vail, CO, USA, pp. 174-179. https://doi.org/10.1109/HOSA.1989.735291
|
21 |
Dimitriadis, D. and Maragos, P. (2006), "Continuous energy demodulation methods and application to speech analysis", Speech Commun., 48(7), 819-837. https://doi.org/10.1016/j.specom.2005.08.007
DOI
|
22 |
Feldman, M. (2011), "Hilbert transform in vibration analysis", Mech. Syst. Signal Process., 25(3), 735-802. https://doi.org/10.1016/j.ymssp.2010.07.018
DOI
|
23 |
Ghahari, S.F., Abazarsa, F. and Taciroglu, E. (2017), "Blind modal identification of non‐classically damped structures under nonstationary excitations", Struct. Control Health Monit., 24(6), e1925. https://doi.org/10.1002/stc.1925
DOI
|
24 |
Sorouchyari, E. (1991), "Blind separation of sources, part III: Stability analysis", Signal Process., 24(1), 21-29. https://doi.org/10.1016/0165-1684(91)90081-S
DOI
|
25 |
Ulriksen, M.D. and Damkilde, L. (2016), "Structural damage localization by outlier analysis of signal-processed mode shapes - Analytical and experimental validation", Mech. Syst. Signal Process., 68-69, 1-14. https://doi.org/10.1016/j.ymssp.2015.07.021
DOI
|
26 |
Ye, J. and Jin, H. (2009), "An optimized EASI algorithm", Signal Process., 89(3), 333-338. https://doi.org/10.1016/j.sigpro.2008.08.015
DOI
|
27 |
Zarzoso, V. and Nandi, A.K. (2000), "Adaptive blind source separation for virtually any source probability density function", IEEE Transection Signal Process., 48, 477-488. https://doi.org/10.1109/78.823974
DOI
|
28 |
Guo, Y. and Kareem, A. (2016a), "System identification through nonstationary data using time-frequency blind source separation", J. Sound Vib., 371, 110-131. https://doi.org/10.1016/j.jsv.2016.02.011
DOI
|
29 |
Guo, Y. and Kareem, A. (2016b), "Non-stationary frequency domain system identification using time-frequency representations", Mech. Syst. Signal Process., 72-73, 712-726. https://doi.org/10.1016/j.ymssp.2015.10.031
DOI
|
30 |
Hazra, B., Roffel, A.J., Narasimhan, S. and Pandey, M.D. (2010), "Modified cross-correlation method for the blind identification of structures", J. Eng. Mech., 136(7), 889-897. https://doi.org/10.1061/(ASCE)EM.1943-7889.0000133
DOI
|
31 |
James, G.H., Carne, T.G. and Lauffer, J.P. (1993), "The natural excitation technique for modal parameter extraction from operating wind turbines", Int. J. Anal. Experim. Modal Anal., 10(4).
|
32 |
Johnson, E.A., Lam, H.F., Katafygiotis, L.S. and Beck, J.L. (2004), "Phase I IASC-ASCE structural health monitoring benchmark problem using simulated data", J. Eng. Mech., 130(1), 3-15. https://doi.org/10.1061/(ASCE)0733-9399(2004)130:1(3)
DOI
|
33 |
Jutten, C. and Herault, J. (1991), "Blind separation of sources, part I: An adaptive algorithm based on neuromimetic architecture", Signal Process., 24(1), 1-10. https://doi.org/10.1016/0165-1684(91)90079-X
DOI
|
34 |
Kaiser, J.F. (1990), "On a simple algorithm to calculate the 'energy' of a signal", Proceedings of IEEE ICASSP-90, Albuquerque, NM, USA, April. https://doi.org/10.1109/ICASSP.1990.115702
|
35 |
Kaiser, J. (1993), "Some useful properties of Teager's energy operators", Proceedings of IEEE International Conference on Acoustics, Speech, and Signal Processing, Minneapolis, MN, USA, May. https://doi.org/10.1109/ICASSP.1993.319457
|
36 |
Lagunas Hernandez, M.A. (1994), "A general adaptive algorithm for nongaussian source separation without any constraint", Proceedings of EUSIPCO-94, 7th European Signal Processing Conference, Edinburgh, UK, pp. 1161-1164.
|
37 |
Liang, M. and Bozchalooi, I.S. (2010), "An energy operator approach to joint application of amplitude and frequencydemodulations for bearing fault detection", Mech. Syst. Signal Process., 24(5), 1473-1494. https://doi.org/10.1016/j.ymssp.2009.12.007
DOI
|
38 |
Loh, C.H., Weng, J.H., Liu, Y.C., Lin, P.Y. and Huang, S.K. (2011), "Structural damage diagnosis based on on-line recursive stochastic subspace identification", Smart Mater. Struct., 20(5). https://doi.org/10.1002/stc.362
|
39 |
Loh, C.-H., Liu, Y.-C. and Ni, Y.-Q. (2012), "SSA-based stochastic subspace identification of structures from output-only vibration measurements", Smart Struct. Syst., Int. J., 10(4), 331-351. https://doi.org/10.12989/sss.2012.10.4_5.331
DOI
|
40 |
Lus, H., Betti, R., Yu, J. and De Angelis, M. (2004), "Investigation of a system identification methodology in the context of the ASCE benchmark problem", J. Eng. Mech., 130(1), 71-84. https://doi.org/10.1061/(ASCE)0733-9399(2004)130:1(71)
DOI
|
41 |
Maragos, P., Kaiser, J. and Quatieri T. (1993), "Energy separation in signal modulations with application to speech analysis", IEEE Transactions on Signal Process., 41(10), 3024-3051. https://doi.org/10.1109/78.277799
DOI
|
42 |
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
|
43 |
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. https://doi.org/10.12989/.2015.15.1.081
DOI
|
44 |
Poncelet, F., Kerschen, G. and Golinval, J.-C. (2007), "Outputonly modal analysis using blind source separation techniques", Mech. Syst. Signal Process., 21(6), 2335-2358. https://doi.org/10.1016/j.ymssp.2006.12.005
DOI
|