Cite

H.Meifeng and H.Wenbin, “A study on composite honeycomb sandwich panel”, Materials and design, Vol. 29, 2008, pp. 709-713.10.1016/j.matdes.2007.03.003 Search in Google Scholar

Y.K.Hyeung and H.Woonbong, “Effect of debonding on natural frequencies and frequency response functions of honeycomb sandwich beams”, Composite structures, Vol.55, 2002, pp. 5162.10.1016/S0263-8223(01)00136-2 Search in Google Scholar

M.K.Lim, S.C.Low, L.Jiang and K.M.Liew, “Dynamic characteristics of disbands in honeycomb structures”, Engineering structures, Vol. 17, 1995, pp. 27–38.10.1016/0141-0296(95)91038-3 Search in Google Scholar

K.B.Su, “Delamination resistance of stitched thermoplastic matrix composite laminates”, Advances in thermoplastic matrix composite materials, Vol. 1044, 1989, pp. 279-300. Search in Google Scholar

D.Montalvao, A.M.R.Ribeeiro, J.Duarte-Silva, “A method for the localization of damage in CFRP plate using damping”, Mechanical systems and signal processing, Vol. 23, 2009, pp. 18461854.10.1016/j.ymssp.2008.08.011 Search in Google Scholar

B.Sauvik,M.Debdatta and M.S.Shaik, “ wavlet-based active sensing for health monitoring of plate structures using baseline free ultrasonic guided wave signals”, International journal on smart sensing and intelligent systems, vol. 6, no. 4, 2013, pp. 1435-1455.10.21307/ijssis-2017-598 Search in Google Scholar

S.Deshan, F.U.Chunyu, LI. Qiao LI, “Experimental investigation of damage identification for continuous railway bridges”, Journal of Modern Transportation, Vol. 20, No.1, 2012, pp. 1-9.10.1007/BF03325770 Search in Google Scholar

B.Darun,M.Marcias,R.Bruno and Y.Marko, “ A Hybrid Structural Health Monitoring System for the Detection and Localization of Damage in Composite Structures”, Journal of Sensors, 2014, vol. 2014, doi:10.1155/2014/109403.10.1155/2014/109403 Search in Google Scholar

H.Jiaze and Y. Fuh-Gwo, “Damage identification for composite structures using a crosscorrelation reverse-time migration technique”, Structural Health Monitoring, 2015, vol. 14 No. 6, pp. 558-570.10.1177/1475921715602546 Search in Google Scholar

T.H.Loutas, A.O.Panop, D.Rouliasand V.Kostopoulos, “Intelligent health monitoring of aerospace composite structures based on dynamic strain measurements”, Expert systems with application, Vol. 39, 2012, pp. 8412-8422.10.1016/j.eswa.2012.01.179 Search in Google Scholar

S.K.Kumar, T.Jayabarathiand S.Naveen, “Fault identification and location in distribution systems using support vector machines”, European Journal of Scientific Research, Vol. 51, 2011, pp. 53-60. Search in Google Scholar

B. Ahmet, S. K.Ambuj, S.Peter, F.Tony, J.Hector, Y.Linjun and E.Ahmed, “Real-time nondestructive structural health monitoring using support vector machines and wavelets”, Proc. SPIE 5770, Advanced Sensor Technologies for Nondestructive Evaluation and Structural Health Monitoring, 2005, doi:10.1117/12.597685.10.1117/12.597685 Search in Google Scholar

K. Jaroslaw and S.Osowski, “Support vector machine for fault diagnosis of the broken rotor bars of squirrel-cage induction motor”, Neural Computation & Application, Vol. 19, 2010, 557564.10.1007/s00521-009-0316-5 Search in Google Scholar

S. Satish, G.Anirban and B.Sauvik, “Damage identification in aluminium beams using support vector machine: Numerical and Experimental studies”, Struct. Control Health Monit., 2015, doi:10.1002/stc.1773.10.1002/stc.1773 Search in Google Scholar

A.J.Smola and B.Scholkopf, “A tutorial on support vector regression”, Statistics and Computing, Vol. 14, 2004, No. 3, pp 199-222.10.1023/B:STCO.0000035301.49549.88 Search in Google Scholar

S.R. Gunn, “Support Vector Machines for Classification and Regression,” technical report, School of Electronics and Computer Science, Univ. of Southampton, Southampton, U.K., 1998. Search in Google Scholar

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