[1]
M. Gul and F.N. Catbas, Statistical pattern recognition for Structural Health Monitoring using time series modeling: theory and experimental verifications, Mechanical Systems and Signal Processing 23 (2009) 2192-2204.
DOI: 10.1016/j.ymssp.2009.02.013
Google Scholar
[2]
I. Trendafilova, An automated procedure for detection and identification of ball bearing damage using multivariate statistics and pattern recognition, Mechanical Systems and Signal Processing 24 (2010) 1858-1869.
DOI: 10.1016/j.ymssp.2010.02.005
Google Scholar
[3]
S.D. Fassois and J.S. Sakellariou, Time-series methods for fault detection and identification in vibrating structures, The Royal Society - Philosophical Transactions: Mathematical, Physical and Engineering Sciences 365 (2007) 411-448.
DOI: 10.1098/rsta.2006.1929
Google Scholar
[4]
S.D. Fassois and J.S. Sakellariou, Statistical Time Series Methods for Structural Health Monitoring, in Encyclopedia of Structural Health Monitoring, John Wiley & Sons Ltd., C. Boller and F.K. Chang and Y. Fujino, 2009, 443-472.
DOI: 10.1002/9780470061626.shm044
Google Scholar
[5]
F.P. Kopsaftopoulos and S.D. Fassois, Vibration based health monitoring for a lightweight truss structure: experimental assessment of several statistical time series methods, Mechanical Systems and Signal Processing 24 (2010) 1977-(1997).
DOI: 10.1016/j.ymssp.2010.05.013
Google Scholar
[6]
F.P. Kopsaftopoulos and S.D. Fassois, Scalar and vector time series methods for vibration based damage diagnosis in a scale aircraft skeleton structure, Journal of Theoretical and Applied Mechanics 49 (2011) 727-756.
DOI: 10.1115/esda2010-24275
Google Scholar
[7]
J.L. Zapico-Valle, M. Garcia-Dieguez, M.P. Gonzalez-Martinez and K. Worden, Experimental validation of a new statistical process control feature for damage detection, Mechanical Systems and Signal Processing 25 (2011) 2513-2525.
DOI: 10.1016/j.ymssp.2011.02.007
Google Scholar
[8]
M. Gul and F.N. Catbas, Structural health monitoring and damage assessment using a novel time series analysis methodology with sensor clustering, Journal of Sound and Vibration 330 (2011) 1196-1210.
DOI: 10.1016/j.jsv.2010.09.024
Google Scholar
[9]
N. M Okasha, D.M. Frangopol, D. Saydam and L.W. Salvino, Reliability analysis and damage detection in high-speed naval craft based on structural health monitoring data, Structural Health Monitoring 10 (2010) 361-379.
DOI: 10.1177/1475921710379516
Google Scholar
[10]
G. Manson, K. Worden and D. Allman, Experimental validation of a structural health monitoring methodology: part III. Damage location on an aircraft wing, Journal of Sound and Vibration 259 (2003) 365-385.
DOI: 10.1006/jsvi.2002.5169
Google Scholar
[11]
O.R. Lautour and P. Omenzetter, Damage classification and estimation in experimental structures using time series analysis and pattern recognition, Mechanical Systems and Signal Processing 24 (2010) 1556-1569.
DOI: 10.1016/j.ymssp.2009.12.008
Google Scholar
[12]
A.A. Mosavi, D. Dickey, R. Seracino and S. Rizkalla, Identifying damage locations under ambient vibrations utilizing vector autoregressive models and Mahalanobis distances, Mechanical Systems and Signal Processing 26 (2012) 254-267.
DOI: 10.1016/j.ymssp.2011.06.009
Google Scholar
[13]
R. Perera and A. Ruiz, A multistage FE updating procedure for damage identification in largescale structures based on multiobjective evolutionary optimization, Mechanical Systems and Signal Processing 22 (2007) 970-991.
DOI: 10.1016/j.ymssp.2007.10.004
Google Scholar
[14]
E. Reynders, G.D. Roeck, P.G. Bakir and C. Sauvage, Damage identification on the Tilff bridge by vibration monitoring using optical fiber strain sensors, Journal of Engineering Mechanics 133 (2007) 185-193.
DOI: 10.1061/(asce)0733-9399(2007)133:2(185)
Google Scholar
[15]
E. Reynders, A. Teughels and G.D. Roeck, Finite element model updating and structural damage identification using OMAX data, Mechanical Systems and Signal Processing 24 (2010) 1306- 1323.
DOI: 10.1016/j.ymssp.2010.03.014
Google Scholar
[16]
K. He and W.D. Zhu, Detection of damage in space frame structures with L-shaped beams and bolted joints using changes in natural frequencies, in Sensors, Instrumentation and Special Topics, Volume 6, T. Proulx (ed. ), Proceedings of the 29th IMAC (2011).
DOI: 10.1007/978-1-4419-9507-0_26
Google Scholar
[17]
J.S. Sakellariou and S.D. Fassois, Vibration based fault detection and identification in an aircraft skeleton structure via a stochastic functional model based method, Mechanical Systems and Signal Processing 22 (2008) 557-573.
DOI: 10.1016/j.ymssp.2007.09.002
Google Scholar
[18]
F.P. Kopsaftopoulos and S.D. Fassois, A stochastic functional model based method for vibration based damage detection, localization, and magnitude Estimation, Mechanical Systems and Signal Processing (2012).
DOI: 10.1016/j.ymssp.2012.08.023
Google Scholar
[19]
C.S. Sakaris, J.S. Sakellariou and S.D. Fassois, Damage detection and precise localization via a vibration based functional model method: application to a 3D truss structure, 6th European Workshop on Structural Health Monitoring (2012).
DOI: 10.12783/shm2017/14100
Google Scholar
[20]
L. Ljung, System Identification: Theory for the User, second ed., Prentice-Hall Inc., New Jersey, (1999).
Google Scholar
[21]
W. Gautschi, Orthogonal Polynomials: Computation and Approximation, Oxford University Press, Oxford, (2004).
Google Scholar