A Comparative Assessment of Two SHM Damage Detection Methods in a Laboratory Tower
Zugasti, E.; Gomez, A.; Anduaga, J.; Arregui, M. A.; Martinez, F.
Advances in Science and Technology Vol. 83 (2013) pp 232-239 © (2013) Trans Tech Publications, Switzerland doi:10.4028/www.scientific.net/AST.83.232
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.