A Comparative Assessment of Two SHM Damage Detection Methods in a Laboratory Tower
Year: 2012
Type: conference-paper
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.
Authors: Ekhi Zugasti, Ana Gomez Gonzalez, Javier Anduaga, Miguel Angel Arregui, Fernando Martínez
Institutions: Ikerlan, Universidade de Santiago de Compostela
Language: English
Subfield: Civil and Structural Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: hybrid
OpenAlex ID: W1978343048