DOI:
https://doi.org/10.14483/23448393.20447Published:
2023-10-17Issue:
Vol. 28 No. 3 (2023): September-DecemberSection:
Civil and Environmental EngineeringComparative Analysis between Singular Spectral Analysis and Empirical Mode Decomposition for Structural Damage Detection
Análisis comparativo entre el análisis singular espectral y la descomposición modal empírica para detección de daño estructural
Keywords:
Hilbert-Huang Transform, Signal Analysis, Structural Health Monitoring, Time-Frequency Analysis (en).Keywords:
Transformada Hilbert-Huang, Análisis de señales, Monitoreo de salud estructural, Análisis tiempo-frecuencia (es).Downloads
References
C.-H. Loh, C.-H. Chen, and T.-Y. Hsu, .Application of advanced statistical methods for extracting long-term trends in static monitoring data from an arch dam,"Struct. Health Mon., vol. 10, pp. 587-601, Nov. 2011. https://doi.org/10.1177/1475921710395807 DOI: https://doi.org/10.1177/1475921710395807
L. Chin-Hsiung, C. Chia-Hui, and M. Chien-Hong, "Detecting seismic response signals using singular spectrum analysis,"Sensors Smart Struct. Tech. Civil Mech. Aerospace Sys., vol. 7647, pp. 535-546, 2010. https://doi.org/10.1117/12.846427 DOI: https://doi.org/10.1117/12.846427
B. Medina and L. Duque, "Fuzzy entropy relevance analysis in DWT and EMD for BCI motor imagery applications, Ing, "vol. 20, no. 1, pp. 9-19, 2015. https://doi.org/10.14483/udistrital.jour.reving.2015.1.a01 DOI: https://doi.org/10.14483/udistrital.jour.reving.2015.1.a01
E. Johnson, H. Lam, L. Katafygiotis, and J. Beck, "Phase I IASC-ASCE structural health monitoring benchmark problem using simulated data,"J. Eng. Mech., vol. 130, no. 1, pp. 3-15, 2004. https://doi.org/10.1061/(asce)0733-9399(2004)130:1(3) DOI: https://doi.org/10.1061/(ASCE)0733-9399(2004)130:1(3)
G. Gilbert-Rainer and P. Zeno-Iosif, "Modal identification and damage detection in beam-like structures using the power spectrum and time–frequency analysis,"Signal Proc., vol. 96, part A, pp. 29-44, 2014. https://doi.org/10.1016/j.sigpro.2013.04.027 DOI: https://doi.org/10.1016/j.sigpro.2013.04.027
D. Pines and L. Salvino, "Structural health monitoring using empirical mode decomposition and the Hilbert phase,"J. Sound Vibr., vol. 294, no. 1, pp. 97-124, 2006. https://doi.org/10.1016/j. jsv.2005.10.024 DOI: https://doi.org/10.1016/j.jsv.2005.10.024
N. Cheraghi and F. Taheri, .A damage index for structural health monitoring based on the empirical mode decomposition,"J. Mech. Mater. Struct., vol. 2, pp. 43-61, March 2007. https://doi.org/10. 2140/jomms.2007.2.43 DOI: https://doi.org/10.2140/jomms.2007.2.43
L. Cano, .On time-frequency analysis for structural damage detection,"PhD thesis, Univ. Puerto Rico, Puerto Rico, 2008. [Online]. Available: https://www.researchgate.net/publication/257138876_On_TimeFrequency_Analysis_for_Structural_Damage_Detection
D. Swagato and S. Purnachandra, "Structural health monitoring techniques implemented on IASC-ASCE benchmark problem: A review,"J. Civil Struct, Health Monitor., vol. 8, pp. 689-718, 2018. https://doi.org/10.1007/s13349-018-0292-5 DOI: https://doi.org/10.1007/s13349-018-0292-5
B. Basuraj , H. Budhaditya, and P. Vikram, Real time structural damage detection using recursive singular spectrum analysis,ïn 13th Int. Conf. App. Stat. Prob. Civil Eng., 2019, pp. 1-8. https://s-space.snu.ac.kr/bitstream/10371/153487/1/358.pdf
S. Sony and A. Sadhu, "Multivariate empirical mode decomposition-based structural damage localization using limited sensors,"J. Vibr. Control, vol. 28, no. 15-16, pp. 1863-2167, 2021. https://doi.org/10.1177/10775463211006965 DOI: https://doi.org/10.1177/10775463211006965
D. Yansong, S. Zongzhen, and G. Kongzheng, "Structural damage identification under variable environmental/operational conditions based on singular spectrum analysis and statistical control chart,"Struct. Control Health Monitor., vol. 28, no. 6, pp. 1-19, March 2021. https://doi.org/10.1002/stc.2721 DOI: https://doi.org/10.1002/stc.2721
J. I. Campos Hernández, Ïnnovador método para detectar daño estructural, funciones de la bifurcación frecuencial modal (modal frequency splitting functions),"Master thesis, Inst. Polit. Nac., Mexico, 2018. [Online]. Available: http://tesis.ipn.mx/handle/123456789/27096
R. Zhang, M. Asce, S. Ma, E. Safak, and S. Hartzell, "Hilbert-Huang transform analysis of dynamic and earthquake motion recordings,"J. Eng. Mech. ASCE, vol. 129, no. 8, pp. 861-875, 2003. https://doi.org/10.1061/(asce)0733-9399(2003)129:8(861) DOI: https://doi.org/10.1061/(ASCE)0733-9399(2003)129:8(861)
L. Plazas, M. A. Avila, and A. Torres, "Spectral estimation of UV-Vis absorbance time series for water quality monitoring,"Ing, vol. 22, no. 2, pp. 211-225, 2017. https://doi.org/10. 14483/udistrital.jour.reving.2017.1.a01
K. Liu, S. Law, Y. Xia, and X. Zhu, "Singular spectrum analysis for enhancing the sensitivity in structural damage detection,"J. Sound Vibr., vol. 333, no. 2, pp. 392-417, 2014. https://doi.org/10.1016/j.jsv.2013.09.027 DOI: https://doi.org/10.1016/j.jsv.2013.09.027
M. A. de Oliveira, J. V. Filho, V. Lopes, and D. J. Inman, .A new approach for structural damage detection exploring the singular spectrum analysis,"J. Intel. Mater. Syst. Struct., vol. 28, no. 9, pp. 1160-1174, 2017. https://doi.org/10.1177/1045389x16667549 DOI: https://doi.org/10.1177/1045389X16667549
J. Yang, Y. Lei, S. Lin, and N. Huang, "Hilbert-Huang based approach for structural damage detection,"J. Eng. Mech., vol. 130, no. 1, pp. 85-95, 2004. https://doi.org/10.1061/(asce)0733-9399(2004)130:1(85) DOI: https://doi.org/10.1061/(ASCE)0733-9399(2004)130:1(85)
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Copyright (c) 2023 González, E. C., Salcedo, G. E., and Cano, L.

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