Damage detection in Euler–Bernoulli beams via spatial wavelet analysis

By Pol D. Spanos, Giuseppe Failla, A. Santini, Massimiliano Pappatico. 2006

49 citations recorded by the source corpus.

Subfields: Civil and Structural Engineering, Computer Vision and Pattern Recognition

View Paper: https://www.semanticscholar.org/paper/88dd370e106c65c1a813010d061c5c068ce35373

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Civil and Structural Engineering

1. S. Olutunde Oyadiji
2. Shuncong Zhong

In Computer Vision and Pattern Recognition

1. S. Olutunde Oyadiji
2. Shuncong Zhong

Citations in the corpus

• Crack detection in simply supported beams using stationary wavelet transform of modal data (2011, methodology): “[27] proposed CWT for damage detection in Euler-Bernoulli beams by using the difference between the displacement responses of the damaged and the undamaged beams for various loading conditions.”