[1]
S.W. Doebling, C.R. Farrar, M.B. Prime, A summary review of vibration-based damage identification methods, Shock and Vibration Digest, 30(2), 1998, 91-105.
DOI: 10.1177/058310249803000201
Google Scholar
[2]
G.R. Gillich, E.D. Birdeanu, N. Gillich, D. Amariei, V. Iancu, C.S. Jurcau, Detection of damages in simple elements, Annals of DAAAM for 2009 & Proceedings of the 20th International DAAAM Symposium, Book Series: Annals of DAAAM and Proceedings 20 (2009).
Google Scholar
[3]
X.Q. Zhu, S.S. Law, M. Jayawardhan, Experimental study on Statistical Damage Detection of RC Structures based on Wavelet Packet Analysis, Journal of Physics: Conference Series 305 (2011) Paper: 012107.
DOI: 10.1088/1742-6596/305/1/012107
Google Scholar
[4]
J.H. Chou, J. Ghaboussi, Genetic algorithm in structural damage detection, Computers & Structures, 79(14) (2001) 1335–1353.
DOI: 10.1016/s0045-7949(01)00027-x
Google Scholar
[5]
A. Cheung, C. Cabrera, P. Sarabandi, K.K. Nair, A. Kiremidjian, H. Wenzel, The application of statistical pattern recognition methods for damage detection to field data, Smart Mater. Struct. 17 (2008) 065023.
DOI: 10.1088/0964-1726/17/6/065023
Google Scholar
[6]
S.M. Pourhoseini Nejad, Gh.R. Ghodrati Amiri, A. Asadi, E. Afsharid, Z. Tabrizian, Damage detection of skeletal structures using particle swarm optimizer with passive congregation (PSOPC) algorithm via incomplete modal data. Comp. Meth. Civil Eng., 3(1) (2012).
Google Scholar
[7]
J. -J. Sinou, A Review of Damage Detection and Health Monitoring of Mechanical Systems from Changes in the Measurement of Linear and Non-linear Vibrations, in: Robert C. Sapri (Ed. ), Mechanical Vibrations: Measurement, Effects and Control, (2009).
Google Scholar
[8]
C.R. Farrar, D.A. Jauregui, Comparative Study of Damage Identification Algorithms Applied to a Bridge: I Experiment, Smart Materials and Structures, 7 (1998) 704–719.
DOI: 10.1088/0964-1726/7/5/013
Google Scholar
[9]
P.K. Jena, D.N. Thatoi, J. Nanda, D.R.K. Parhi, Effect of damage parameters on vibration signatures of a cantilever beam, Procedia Engineering 38 ( 2012 ) 3318 – 3330.
DOI: 10.1016/j.proeng.2012.06.384
Google Scholar
[10]
C.G. Koh, M.J. Perry, Structural Identification and Damage Detection using Genetic Algorithms, Structures and Infrastructures Book Series, Vol. 6, CRC Press, (2009).
DOI: 10.1201/b10800
Google Scholar
[11]
G.R. Gillich, Z.I. Praisach, Robust method to identify damages in beams based on frequency shift analysis, Conference on Health Monitoring of Structural and Biological Systems, San Diego, CA, March 12-15, 2012, Article Number: 83481D.
DOI: 10.1117/12.915158
Google Scholar
[12]
G.R. Gillich, Z.I. Praisach, Damage patterns based method to locate discontinuities in beams, Conference on Health Monitoring of Structural and Biological Systems, San Diego, CA, March 11-14, 2013, Article Number: 8695-1100.
DOI: 10.1117/12.2009122
Google Scholar
[12]
G.R. Gillich, Z.I. Praisach, D.M. Onchis, About the effectiveness of damage detection methods based on vibration measurements, 3rd WSEAS International Conference on Engineering Mechanics, Structures, Engineering Geology/International Conference on Geography and Geology Corfu Island, Greece, Jul 22-24, 2010, 204-209.
Google Scholar
[14]
D. Onchis-Moaca, G.R. Gillich, R. Frunza, Gradually improving the readability of the time-frequency spectra for natural frequency identification in cantilever beams, 2012 Proceedings of the 20th European Signal Processing Conference (EUSIPCO) Book Series: European Signal Proceedings Conference (2012).
Google Scholar
[15]
Y. Rubner, C. Tomasi, L. J. Guibas, The Earth Mover's Distance as a Metric for Image Retrieval, International Journal of Computer Vision 40(2), (2000) 99–121.
Google Scholar
[16]
P. Bratu, Vibratiile sistemelor elastice, Editura Tehnica, Bucuresti, (2000).
Google Scholar