The efficiency assessment of output-only modal identification methods for noise-infected data

[1] H. Adeli and X. Jiang, Dynamic Fuzzy Wavelet Neural Network Model for Structural System Identification, J. Struct. Engin. 132 (2006), 102–111.

[2] O. Al-Gahtani, M. El-Gebeily, and Y. Khulief, Output-only identification of system parameters from noisy measurements by multiwavelet denoising, Adv. Mech. Engin. 6 (2014), 218328.

[3] R.J. Allemang, The modal assurance criterion: Twenty years of use and abuse, Sound Vib. 37 (2003), 14–21.

[4] S. Amador, M. Ørum, T. Friis, and M. Brincker, Application of frequency domain decomposition identification technique to half spectral densities, Topics in Modal Analysis and Testing, Conf. Proc. Soc. Exper. Mech. Ser. (Mains M., Dilworth B., ed.), vol. 9, Springer, 2019,

[5] P. Andersen, R. Brincker, M. Goursat, and L. Mevel, Automated modal parameter estimation for operational modal analysis of large systems, Proc. 2nd Int. Oper. Modal Anal. Conf., vol. 1, 2007, pp. 299–308.

[6] P. Andersen, R. Brincker, B. Peeters, G. De Roeck, L. Hermans, and C. Kramer, Comparison of system identification methods using ambient bridge test data, Proc. 17th Int. Modal Anal. Conf., 1999, pp. 7–10.

[7] ANSYS Documentation, Mechanical APDL, Element Reference, Element Library, BEAM 188.

[8] M. Batel, Operational modal analysis-another way of doing modal testing, Sound Vib. 36 (2002), no. 8, 22–27.

[9] I. Behmanesh and B. Moaveni, Accounting for environmental variability, modeling errors, and parameter estimation uncertainties in structural identification, J. Sound Vib. 374 (2016), 92–110.

[10] W.K. Bonness and D.M. Jenkins, Removing unwanted noise from operational modal analysis data, Topics Modal Anal. 10 (2015), 115–122.

[11] R. Brincker, Some elements of operational modal analysis, Shock Vib. 4 (2014), 1–11.

[12] R. Brincker and P. Andersen, Understanding stochastic subspace identification, Proc. 24th Int. Modal Anal. Conf., 2006, pp. 279–311.

[13] R. Brincker and P.H. Kirkegaard, Special issue on Operational Modal Analysis, Mech. Syst. Signal Process. 24 (2010), 1209–1212.

[14] R. Brincker, T. Lago, P. Andersen, and C. Ventura, Improving the classical geophone sensor element by digital correction, Proc. 23th Int. Modal Anal. Conf.: Conf. Expos. Struct. Dyn., vol. 31, 2005.

[15] R. Brincker and C. Ventura, Introduction to Operational Modal Analysis, First ed., First edition, John Wiley and Sons, New Jersey, United States, 2015.

[16] R. Brincker, C. Ventura, and P. Andersen, Why output-only modal testing is a desirable tool for a wide range of practical applications, Proc. 21th Int. Modal Anal. Conf., vol. 265, 2003.

[17] R. Brincker, l. Zhang, and P. Andersen Modal identification of output-only systems using frequency domain decomposition, Smart Mater. Struct. 10 (2001), no. 3, 441–445.

[18] M.S. Cao, G.G. Sha, and Y.F. Gao, Ostachowicz W., Structural damage identification using damping: a compendium of uses and features, Smart Mater. Struct. 26 (2017), no. 4, 043001

[19] E.P. Carden and A. Mita, Challenges in developing confidence intervals on modal parameters estimated for large civil infrastructure with stochastic subspace identification, Struct. Control Health Monitor. 18 (2011), 53–78.

[20] X. Chen, P. Omenzetter, and S. Beskhyroun, Comparison of output-only methods for modal identification of a twelve-span viaduct, Proc. 5th Int. Oper. Modal Anal. Conf., 2013.

[21] A.K. Chopra, Dynamics of Structures: Theory and Applications to Earthquake Engineering, Third ed., Prentice Hall, USA, 2007.

[22] G. De Roeck, B. Peeters, and W.X. Ren, Benchmark study on system identification through ambient vibration measurements, Proc. 18th Int. Modal Anal. Conf., 2000, pp. 1106–1112.

[23] S. Dorvash and S.N. Pakzad, Effects of measurement noise on modal parameter identification, Smart Mater. Struct. 21 (2012), no.6, 1–15.

[24] E.P.B. Reynders, Uncertainty quantification in data-driven stochastic subspace identification, Mech. Syst. Signal Process. 151 (2021), 107338.

[25] J. Enríquez-Zarate, G. Valencia-Palomo, F.-R. Lopez-Estrada, G. Silva-Navarro, J.A. Hoyo-Montano, Efficient predictive vibration control of a building-like structure, Asian J. Control 22 (2020), 1411–1421.

[26] A.J. Felber, Development of a Hybrid Bridge Evaluation System, University of British Columbia, 1994.

[27] M. Ghobadi, M. Majji, and E. Esfahani, AOSID: An analytical solution to the output-only system identification problem to estimate physical parameters and unknown input simultaneously, Struct. Control Health Monitor. 24 (2017), 1–23.

[28] D.F. Giraldo, W. Song, S.J. Dyke, and J.M. Caicedo, Modal identification through ambient vibration: Comparative study, J. Engin. Mech. 135 (2009), 759–770.

[29] K. Gkoktsi, A. Giaralis, and B. TauSiesakul, Sub-Nyquist signal-reconstruction-free operational modal analysis and damage detection in the presence of noise, Proc. Sensors Smart Struct. Technol. Civil Mech. Aerospace Syst., vol. 9803, 2016.

[30] F. Gomaa, M. Tayel, K. Kandil, and G. Hekal, Validation study illustrates the accuracy of operational modal analysis identification, Int. J. Emerg. Technol. Adv. Engin. 11 (2012), no. 2, 658–667.

[31] X. Jiang and H. Adeli, Wavelet packet-autocorrelation function method for traffic flow pattern analysis, Comput.-Aid. Civil Infrast. Engin. 19 (2004), no. 5, 324–337.

[32] X. Jiang, S. Mahadeva, and H. Adeli, Bayesian wavelet packet denoising for structural system identification, Struct. Control Health Monitor. 14 (2007), 333–356.

[33] J. Kim and P.L. Jerome, Comparison study of output-only subspace and frequency-domain methods for system identification of base excited civil engineering structures, Civil Engin. Topics 4 (2011), 305–312.

[34] M. Makki Alamdari, J. Li, and B. Samali, FRF-based damage localization method with noise suppression approach, J. Sound Vibr. 333 (2014), 3305–3320.

[35] M. Makki Alamdari, B. Samali, J. Li, H. Kalhori, and S. Mustapha, Spectral-based damage identification in structures under ambient vibration, J. Comput. Civil Engin. 30 (2016), no. 4, 04015062.

[36] P. Mellinger, M. Dohler, and L. Mevel, Variance estimation of modal parameters from output-only and input/output subspace-based system identification, J. Sound Vibr. 379 (2016), 1–27.

[37] B. Moaveni and E. Asgarieh, Deterministic-stochastic subspace identification method for identification of nonlinear structures as time-varying linear systems, Mech. Syst. Signal Process. 31 (2012), 40–55.

[38] B. Moaveni, A.R. Barbos, J.P. Conte, and F.M. Hemez, Uncertainty analysis of system identification results obtained for a seven-story building slice tested on the UCSD-NEES shake table, Struct. Control Health Monitor. 21 (2014), 466–483.

[39] B. Peeters, B. Cornelis, K. Janssens, and H. Van Der Auweraer, Removing disturbing harmonics in operational modal analysis, Proc. 2nd Int. Oper. Modal Anal. Conf., 2007, pp. 1–2.

[40] B. Peeters, G. De Roeck, L. Hermans, T. Wauters, C. Kramer, and C. De Smet, Comparison of system identification methods using operational data of a bridge test, Proc. Int. Seminar Modal Anal., vol. 2, 1999, pp. 923–930.

[41] M.J. Perry and C.G. Koh, Output-only structural identification in time domain: Numerical and experimental studies, Earthquake Engin. Struct. Dyn. 37 (2008), 517–533.

[42] J.G. Proakis and M. Salehi, Digital Communications, Fifth ed., McGraw-Hill, New York, 2007.

[43] C. Rainieri and G. Fabbrocino, Automated output-only dynamic identification of civil engineering structures, Mech. Syst. Signal Process. 24 (2010), 678–695.

[44] C. Rainieri and G. Fabbrocino, Operational modal analysis for the characterization of heritage structures, Geofizika 28 (2018), no. 1, 109–126.

[45] E. Reynders and G. De Roeck, Reference-based combined deterministic-stochastic subspace identification for experimental and operational modal analysis, Mech. Syst. Signal Process. 22 (2008), 617–637.

[46] A. Sadhu, S. Narasimhan, and J. Antoni, A review of output-only structural mode identification literature employing blind source separation methods, Mech. Syst. Signal Process. 94 (2017), 415–431.

[47] Y. Shi, Z. Li, and C.C. Chang, Output-only subspace identification of structural properties and unknown ground excitation for shear-beam buildings, Adv. Mech. Engin. 8 (2016), no. 11, 1–15.

[48] H. Shokravi, H. Shokravi, N. Bakhary, M. Heidarrezaei, S.S. Rahimian Koloor, and M. Petru, Application of the subspace-based methods in health monitoring of civil structures: A systematic review and meta-analysis, Appl. Sci. 10 (2020), no. 10, 3607.

[49] C. Stephan, Sensor placement for modal identification, Mech. Syst. Signal Process. 27 (2012), 461–470.

[50] L. Wang, R. Song, Y. Wu, and W. Hu, Statistically filtering data for operational modal analysis under ambient vibration in structural health monitoring systems, MATEC Web Conf., vol. 68, 2016, pp. 14010.

[51] Z. Wu and N.E. Huang, Ensemble empirical mode decomposition: A noise-assisted data analysis method, Adv. Adapt. Data Anal. 1 (2009), no. 1, 1–41.

[52] J.H. Yi and C.B. Yun, Comparative study on modal identification methods using output-only information, Struct. Engin. Mech. 17 (2004), no. 3-3, 445–66.

[53] X. Zhu and H. Hao, Development of an integrated structural health monitoring system for bridge structures in operational conditions, Front. Struct. Civil Engin. 6 (2012), no. 3, 321–333.

[54] J. Zhang, J. Prader, K.A. Grimmelsman, F. Moon, A.E. Aktan, and A. Shama, Experimental vibration analysis for structural identification of a long-span suspension bridge, J. Engin. Mech. 139 (2013), 748–759.

[55] G. Zhang, B. Tang, and G. Tang, An improved stochastic subspace identification for operational modal analysis, Measurement 45 (2012), 1246–1256.

[56] F.L. Zhang, H.B. Xiong, W.X. Shi, and X. Ou, Structural health monitoring of Shanghai Tower during different stages using a Bayesian approach, Struct. Control Health Monitor. 23 (2016), 1366–1384.