The selection of pattern features for structural damage detection using an extended Bayesian ANN algorithm

Abstract

After the embargo period  via non-commercial hosting platforms such as their institutional repository  via commercial sites with which Elsevier has an agreement In all cases accepted manuscripts should:  link to the formal publication via its DOI  bear a CC-BY-NC-ND licensethis is easy to do, click here to find out how  if aggregated with other manuscripts, for example in a repository or other site, be

Analytical and finite element prediction of Lamb wave scattering at delaminations in quasi-isotropic composite laminates

“…Different techniques [5][6][7][8] have been developed to ensure the safety and reduce maintenance costs of structures. Guided waves (GWs) have demonstrated great potential for damage detection in a wide range of structural elements, including beams [9], pipes [10], metallic plates [11], and, more recently, composite laminates [12][13][14][15].…”

Frequency response function based damage identification using principal component analysis and pattern recognition technique

“…ANNbased methods can operate on a finite element (FE) model of the structure or on real measurement data and a neural network approach can be used to identify faults in the tested structure [18]. Usage of neural networks for damage identification has a number of attractive advantages.…”

On the selection of advanced signal processing techniques for guided wave damage identification using a statistical approach

“…Vibration-based damage identification methods [5][6][7][8][9][10][11], which rely on low-frequency vibration characteristics of structures to identify damages, have been extensively investigated, for example, especially in the fields of civil and mechanical engineering. Although low-frequency vibration methods can be used to globally monitor structures, they are generally not sensitive to local incipient damages [4], however, which means that damages as small as a centimeter and can threaten the safe operation of structures.…”