1 |
Yan, W.J., Ren, W.X. and Huang, T.L. (2012), "Statistic structural damage detection based on the closed-form of element modal strain energy sensitivity", Mech. Syst. Signal Pr., 28,183-194.
DOI
|
2 |
Yan, Y.J., Cheng L., Wu, Z.Y. and Yam, L.H. (2007), "Development in vibration-based structural damage detection technique", Mech. Syst. Signal Pr., 21(5), 2198-2211.
DOI
|
3 |
Yang, Q.W. and Liu, J.K. (2006), "A coupled method for structural damage identification", J. Sound Vib., 296(1-2),401-440.
DOI
|
4 |
Yang, Z. and Wang, L. (2010). "Structural damage detection by changes in natural frequencies", J. Intel. Mater. Syst. Str., 21, 309-319.
DOI
|
5 |
Bernardino, A. and Santos-Victor, J. (2005), "A real-time Gabor primal Sketch for visual attention", IBPRIA-2nd Iberian Conference on Pattern Recognition and Image Analysis, Estoril, Portugal.
|
6 |
Chen, G.D. and Wang, Z.C. (2012), "A signal decomposition theorem with Hilbert transform and its application to narrowband time series with closely spaced frequency components", Mech. Syst. Signal Pr., 28, 258-279.
DOI
|
7 |
Daubechies, I. and Maes, S. (1996), A nonlinear squeezing of the continuous wavelet transform based on nerve models, (Eds., A. Aldroubi and M. Unser),Wavelets in Medicine and Biology, CRC Press.
|
8 |
Daubechies, I., Lu, J.F. and Wu, H.T. (2011), "Synchrosqueezed wavelet transforms: An empirical mode decomposition-like tool", Appl. Comput. Harmon. A., 2(30), 243-261.
|
9 |
Doebling, S.W., Farrar, C.R. and Prime M.B. (1998). "A summary review of vibration-based damage identification methods", Shock Vib. Dig., 30 (2), 91-105.
DOI
|
10 |
Fayyadh, M.M., Razak, H.A. and Ismail, Z. (2011), "Combined modal parameters-based index for damage identification in beamlike structures: theoretical development and verification", Arch. Civil Mech. Eng., 11(3), 587-609.
DOI
|
11 |
Feldman M. (2011), "Hilbert transform applications in mechanical vibration", Mech. Syst. Signal Pr., 25(3), 735-802.
DOI
|
12 |
Golmohamadi, M., Badri, H. and Ebrahimi, A. (2012), "Damage diagnosis in bridges using wavelet", Proceedings of the IACSIT Coimbatore Conferences, Singapore.
|
13 |
Hou, Z.K., Hera, A, and Shinde, A. (2006), "Wavelet-based structural health monitoring of earthquake excited structures", Comput. -Aided Civil Infrastruct. Eng., 21,268-279.
DOI
|
14 |
Huang, N.E. and Shen, S.S.P. (2005), Hilbert-Huang transform and its application, World Scientific Publishing Company, London.
|
15 |
Huang, N.E., Shen, Z. and Long, S.R. (1999), "A new view of nonlinear water waves: the Hilbert spectrum", Annual Rev. Fluid Mech., 31,417-457.
DOI
|
16 |
Huang, N.E., Shen, Z., Long, S.R., Wu, M.C., Shih, H.H., Zheng, Q., Yen, N.C., Tung, C.C. and Liu, H.H. (1998), "The empirical mode decomposition and the Hilbert spectrum for nonlinear and non-stationary time series analysis", P. R. Soc. Lond. A, 454(1971), 903-995.
DOI
|
17 |
Jaishi, B. and Ren, W.X. (2006), "Damage detection by finite element model updating using modal flexibility residual", J. Sound Vib., 290(1-2), 369-387.
DOI
|
18 |
Kijewski, T. and Kareem, A. (1999), "Applications of wavelet transform in earthquake, wind and ocean engineering ", Eng. Struct., 21(2),149-167.
DOI
|
19 |
Kijewski, T. and Kareem, A. (2003). "Wavelet transforms for system identification in civil engineering", Comput.-Aided Civil Infrastruct. Eng., 18(5), 339-355.
DOI
|
20 |
Kijewski, T. and Kareem, A. (2007), "Nonlinear signal analysis: time-frequency perspectives", J. Eng. Mech., 133(2), 238-245.
DOI
|
21 |
Kopsaftopoulos, F.P. and Fassois S.D. (2013), "A functional model based statistical time series method for vibration based damage detection, localization, and magnitude estimation", Mech. Syst. Signal Pr., 39(1-2), 143-161.
DOI
|
22 |
Li, C. and Liang, M. (2012a), "A generalized synchrosqueezing transform for enhancing signal time-frequency representation ", Mech. Syst. Signal Pr., 9(92), 2264-2274.
|
23 |
Li, C. and Liang, M. (2012b), "Time-frequency signal analysis for gearbox fault diagnosis using a generalized synchrosqueezing transform", Mech. Syst. Signal Pr., 1(26), 205-217.
|
24 |
Lin, J. and Qu, L. (2000), "Feature extraction based on morlet wavelet and its application for mechanical fault diagnosis", J. Sound Vib., 234(1), 135-148.
DOI
|
25 |
Mallat, S. (1999), A wavelet tour of signal processing, Academic Press, New York.
|
26 |
Pandey, A.K. and Biswas, M. (1994), "Damage detection in structures using changes in flexibility", J. Sound Vib., 169(1), 3-17.
DOI
|
27 |
Rucka, M. (2011), "Damage detection in beams using wavelet transform on higher vibration modes", J. Theor. Appl. Mech, 49(2), 399-417.
|
28 |
Ruzzene, M., Fasana, A., Garibaldi, L. and Piombo, B. (1997), "Natural frequencies and dampings identification using wavelet transform: application to real data", Mech. Syst. Signal Pr., 11(2), 207-218.
DOI
|
29 |
Thakur, G., Brevdo, E., Fuckar, N.S. and Wu, H.T. (2013), "The Synchrosqueezing algorithm for time-varying spectral analysis: Robustness properties and new paleoclimate applications", Signal Process, 93(5), 1079-1094.
DOI
|
30 |
Wang, J., Lin, C. and Yen, S. (2007), "A story damage index of seismically-excited buildings based on modal frequency and mode shape", Eng. Struct., 29(9), 2143-2157.
DOI
|
31 |
Wu, H.T., Flandrin, P. and Daubechies, I. (2011), "One or two frequencies? The synchrosqueezing answers", Adv. Adap. Data Anal., 13, 29-39.
|
32 |
Wu, Z.H. and Huang, N.E. (2009), "Ensemble empirical mode decomposition: a noise-assisted data analysis method", Adv. Adap. Data Anal., 1(1), 11-41.
|
33 |
Xu, X., Shi, Z.Y. and You, Q. (2012), "Identification of linear time-varying systems using a wavelet-based state-space method", Mech. Syst. Signal Pr., 26, 91-103.
DOI
|