Crack identification using wavelets on experimental static deflection profiles

By M. Rucka, K. Wilde. 2006

149 citations recorded by the source corpus.

Subfields: Civil and Structural Engineering, Computer Vision and Pattern Recognition, Mechanics of Materials

View Paper: https://www.semanticscholar.org/paper/1de53489ae47f67290421aba80b3dd103891bc39

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. Ugo Andreaus
2. Paolo Casini
3. Arcangelo Messina

In Computer Vision and Pattern Recognition

1. Ugo Andreaus
2. Arcangelo Messina
3. Paolo Casini

In Mechanics of Materials

1. Ugo Andreaus
2. Arcangelo Messina
3. Paolo Casini
4. Francesco dell'Isola

Citations in the corpus

• Identification of multiple open and fatigue cracks in beam-like structures using wavelets on deflection signals (2016, methodology): “The possibility of damage detection by different types of wavelets were discussed in [44].”
• Refinements of damage detection methods based on wavelet analysis of dynamical shapes (2008, background): “2–4 take into account 2nd, 3rd and 4th derivatives can be found in literature (Gentile and Messina, 2002; Rucka and Wilde, 2006a,b).”