A multivariate data analysis approach towards vibration analysis and vibration-based damage assessment:: Application for delamination detection in a composite beam

Journal of Sound and Vibration

Volumn 333, Issue 25, 2014, Pages 7036-7050

  García, David ^a   Trendafilova, Irina ^a  

^a UNIVERSITY OF STRATHCLYDE   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

DAMAGE DETECTION; DEGREES OF FREEDOM (MECHANICS); FREQUENCY DOMAIN ANALYSIS; LAMINATED COMPOSITES; MULTIVARIANT ANALYSIS; NUMERICAL METHODS; SIGNAL RECONSTRUCTION; SPECTRUM ANALYSIS; STRUCTURAL DYNAMICS;

DELAMINATION DETECTIONS; MULTIVARIATE DATA ANALYSIS; PRINCIPAL COMPONENTS ANALYSIS; SINGULAR SPECTRUM ANALYSIS; STRUCTURAL VARIATIONS; TWO-DEGREE OF FREEDOM; VIBRATION-BASED DAMAGE; VIBRATION-BASED MONITORING;

VIBRATION ANALYSIS;

EID: 84908101838     PISSN: 0022460X     EISSN: 10958568     Source Type: Journal    
DOI: 10.1016/j.jsv.2014.08.014     Document Type: Article

References (26)

1. K. Worden, C.R. Farrar, J. Haywood, and M. Todd A review of nonlinear dynamics applications to structural health monitoring Structural Control and Health Monitoring 15 4 2008 540 567
2. Y. Zou, L. Tong, and G. Steven Vibration-based model dependent damage (delamination) identification and health monitoring for composite structures - a review Journal of Sound and Vibration 230 2 2000 357 378
3. E. Carden, and P. Fanning Vibration based condition monitoring a review Structural Health Monitoring 3 4 2004 355 377
4. A.-M. Yan, G. Kerschen, P. De Boe, and J.-C. Golinval Structural damage diagnosis under varying environmental conditions - Part i a linear analysis Mechanical Systems and Signal Processing 19 4 2005 847 864
5. A.-M. Yan, G. Kerschen, P. De Boe, and J.-C. Golinval Structural damage diagnosis under varying environmental conditions - Part ii local pca for non-linear cases Mechanical Systems and Signal Processing 19 4 2005 865 880
6. I. Lopez, and N. Sarigul-Klijn Effects of dimensional reduction techniques on structural damage assessment under uncertainty Journal of Vibration and Acoustics 133 6 2011 061008
7. L. Mujica, J. Rodellar, A. Fernandez, and A. Güemes Q-statistic and t2-statistic pca-based measures for damage assessment in structures Structural Health Monitoring 10 5 2011 539 553
8. L. Mujica, M. Ruiz, F. Pozo, J. Rodellar, and A. Güemes A structural damage detection indicator based on principal component analysis and statistical hypothesis testing Smart Materials and Structures 23 2 2014 25014 25025
9. S. Park, J.-J. Lee, C.-B. Yun, and D.J. Inman Electro-mechanical impedance-based wireless structural health monitoring using pca-data compression and k-means clustering algorithms Journal of Intelligent Material Systems and Structures 19 4 2008 509 520
10. M.A. de Oliveira, J. Vieira Filho, V. Lopes Jr., D.J. Inman, Damage detection based on electromechanical impedance principle and principal components, Topics in Modal Analysis, Vol. 7, Springer, California, USA, 2014, pp. 307-315.
11. I.T. Jolliffe Principal Component Analysis Vol. 487 1986 Springer-Verlag New York
12. M. Ghil, M.R. Allen, M.D. Dettinger, K. Ide, D. Kondrashov, M.E. Mann, A.W. Robertson, A. Saunders, Y. Tian, F. Varadi, and P. Yiou Advanced spectral methods for climatic time series Reviews of Geophysics 40 1 2002 1003
13. D.S. Stoffer Detecting common signals in multiple time series using the spectral envelope Journal of the American Statistical Association 94 448 1999 1341 1356
14. B. Kilundu, X. Chiementin, and P. Dehombreux Singular spectrum analysis for bearing defect detection Journal of Vibration and Scoustics 133 5 2011
15. I. Trendafilova, An inverse vibration-based approach towards modelling and damage identification in nonlinearly vibrating structures. Application for delamination detection in a composite beam, Journal of Physics: Conference Series 382 (2012) 012030.
16. N. Golyandina, V. Nekrutkin, and A.A. Zhigljavsky Analysis of Time Series Structure: SSA and Related Techniques 2010 CRC Press, Florida, USA
17. M.E. Mann, and J. Park Oscillatory spatiotemporal signal detection in climate studies a multiple-taper spectral domain approach Advances in Geophysics 41 1999 1 131
18. J.A. Westerhuis, T. Kourti, and J.F. MacGregor Comparing alternative approaches for multivariate statistical analysis of batch process data Journal of Chemometrics 13 3-4 1999 397 413
19. D. Baratta, G. Cicioni, F. Masulli, and L. Studer Application of an ensemble technique based on singular spectrum analysis to daily rainfall forecasting Neural Networks 16 3 2003 375 387
20. J. Nichols, W. Link, K. Murphy, and C. Olson A Bayesian approach to identifying structural nonlinearity using free-decay response application to damage detection in composites Journal of Sound and Vibration 329 15 2010 2995 3007
21. D. Broomhead, and G.P. King Extracting qualitative dynamics from experimental data Physica D: Nonlinear Phenomena 20 2 1986 217 236
22. H. Hussein Singular spectrum analysis: methodology and comparison Journal of Data Science 5 2 2007 239 257
23. F. Alonso, J. Del Castillo, and P. Pintado Application of singular spectrum analysis to the smoothing of raw kinematic signals Journal of Biomechanics 38 5 2005 1085 1092
24. H. Hassani, and A. Zhigljavsky Singular spectrum analysis Methodology and application to economics data Journal of Systems Science and Complexity 22 3 2009 372 394
25. W.W. Hsieh, and A. Wu Nonlinear multichannel singular spectrum analysis of the tropical pacific climate variability using a neural network approach Journal of Geophysical Research: Oceans (1978-2012) 107 C7 2002 13-1
26. J. Mamou, and E.J. Feleppa Singular spectrum analysis applied to ultrasonic detection and imaging of brachytherapy seeds Journal of the Acoustical Society of America 121 2007 1790