[1] Doebling, S. W. and Farrar, C. R. and Prime, M. B. and Shevitz, D. W. (1996). Damage Identification in Structures and Mechanical Systems Based on Changes in Their Vibration Characteristics: A Literature Review. New Mexico:Los Alamos National Laboratory Report LA-13070-MS. Available at: http://wxvax7.esa.lanl.gov/damid/damidhome.html.
[2] Farrar C. R. and Duffey T. A. and Doebling S. W. and Nix D. A. (1999). A statistical pattern recognition paradigm for vibration-based structural health monitoring. In: 2nd Int. Workshop on Structural Health Monitoring. Stanford: Lancaster-Basel, Technomic Publishing Co, Inc, 764–773.
[3] Fugate M. L. and Sohn H. and Farrar C. R. (2001). Vibration-Based Damage Detection Using Statistical Process Control. Mechanical Systems and Signal Processing, 15(4), 707-721.
[4] Noman A.S. and Deeba F. and Bagchi A. (2013). Health Monitoring of Structures Using Statistical Pattern Recognition Techniques. Journal of Performance of Constructed Facilities, 27(5), 575-584.
[5] Kullaa J. (2012). Damage detection of the Z24 Bridge using control charts. Mechanical Systems and Signal Processing, 17(1), 163-170.
[6] Yao R. and Pakzad Sh. (2012). Autoregressive statistical pattern recognition algorithms for damage detection in civil structures. Mechanical Systems and Signal Processing, 31, 355–368.
[7] Mosavi A.A. and Dickey D. and Seracino R. and Rizkalla S. (2012). Identifying Damage Locations under Ambient Vibrations Utilizing Vector Autoregressive Models and Mahalanobis Distances. Mechanical Systems and Signal Processing, 26, 254–267.
[8] Worden, K. and Manson, G. and Fieller, N. R. J. (2000). Damage Detection Using Outlier Analysis. Journal of Sound and Vibration, 229(3), 647-667.
[9] Cheung, A. and Cabrera, C. and Sarabandi, P. and Nair, K.K. and Kiremidjian, A. and Wenzel, H. (2008). The application of statistical pattern recognition methods for damage detection to field data. Smart Materials and Structures, 17(6), 1-12.
[10] Sohn, H. and Farrar, C. R. (2001). Damage Diagnosis Using Time Series Analysis of Vibration Signals. Smart Materials and Structures, 10(3), 446–452.
[11] Hemez, F.M. and Doebling, S.W. (2001). Review and Assessment of Model Updating for Non-Linear Transient Dynamics. Mechanical Systems and Signal Processing, 15(1), 45-74.
[12] Atamturktur, S. and Bornn, L. and Hemez, F. (2011). Vibration Characteristics of Vaulted Masonry Monuments Undergoing Differential Support Settlement. Engineering Structures, 33(9), 2472–2484.
[13] Farrar C. R. and Sohn H. and Park G. (2004). A statistical pattern recognition paradigm for structural health monitoring. In: 9th ASCE Joint Specialty Conf. on Probabilistic Mechanics and Structural Reliability. Albuquerque: Probabilistic Mechanics and Structural Reliability Joint Specialty Conference .836-843.
[14] Nair, K. and Kiremidjian, A. and Law, K. (2006). Time Series-Based Damage Detection and Localization Algorithm with Application to the ASCE Benchmark Structure. Journal of Sound and Vibration, 291(1-2), 349–368.
[15] Nair, K. and Kiremidjian, A. (2007). Time series based structural damage detection algorithm using Gaussian mixtures modeling. Journal of Dynamic Systems, Measurement, and Control, 129, 258–93.