A Comparative Assessment of Two SHM Damage Detection Methods in a Laboratory Tower

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Abstract:

In the present paper, we introduce an application of two damage detection methods to a laboratory structure. One of the methods is based on autoregressive modeling of the signals involved, whereas the second one is based on subspace identification. Both have been tested in a tower that simulates a wind turbine. The results obtained are correct for the damages simulated by loosening some bolts of the different joints. The results show that the second method is computationally more efficient whereas the results are more stable in the first one.

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232-239

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September 2012

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[1] C. R. Farrar and K. Worden, An introduction to structural health monitoring., Philosophical transactions. Series A, Mathematical, physical, and engineering sciences, vol. 365, no. 1851, pp.303-15, Feb. (2007).

DOI: 10.1098/rsta.2006.1928

Google Scholar

[2] A. Rytter, Vibration Based Inspection of Civil Engineering Structures, Aalborg University, Denmark, (1993).

Google Scholar

[3] S. Kay, Modern spectral estimation: theory and application, Alan V Opp. (1988).

Google Scholar

[4] S. D. Fassois and J. S. Sakellariou, Time-series methods for fault detection and identification in vibrating structures., Philosophical transactions. Series A, Mathematical, physical, and engineering sciences, vol. 365, no. 1851, pp.411-48, Feb. (2007).

DOI: 10.1098/rsta.2006.1929

Google Scholar

[5] K. Nair, a Kiremidjian, and K. Law, Time series-based damage detection and localization algorithm with application to the ASCE benchmark structure, Journal of Sound and Vibration, vol. 291, no. 1-2, pp.349-368, Mar. (2006).

DOI: 10.1016/j.jsv.2005.06.016

Google Scholar

[6] C. P. Fritzen, Vibration - Based Structural Health Monitoring - Concepts and Applications, Key Engineering Materials, vol. 293-294, pp.3-20, (2005).

DOI: 10.4028/www.scientific.net/kem.293-294.3

Google Scholar

[7] M. Basseville, M. Abdelghani, and A. Benveniste, Subspace-based fault detection algorithms for vibration monitoring, Automatica, vol. 36, no. 1, p.101–109, Jan. (2000).

DOI: 10.1016/s0005-1098(99)00093-x

Google Scholar

[8] S. M. Kay and S. L. Marple Jr, Spectrum Analysis-A Modern Perspective, Proceedings of the IEEE, vol. 69, no. 11, p.1380–1419, (1981).

DOI: 10.1109/proc.1981.12184

Google Scholar

[9] L. Ljung, System Identification: Theory for the User 2nd Edition, ALAN V OPP. (1999).

Google Scholar

[10] E. Zugasti, A. G. González, J. Anduaga, M. A. Arregui, and F. Martinez, Structural Damage detection in laboratory tower using Null Space Algorithm, " Proc. Smart, 11 Saarbrucken, pp.79-86, (2011).

Google Scholar