29 July 2004 Damage diagnosis of framework structure based on wavelet packet analysis and neural network
Author Affiliations +
Abstract
In this paper, an approach based on "energy-damage" theory for structural damage diagnosis is presented by use of wavelet packet analysis and improved BP neural network. The damage characteristics of the time domain response signals are more obvious after being transformed by the wavelet. Using the node energy in different frequency bands as the sample of tbe ANN can quite well reflect the damage features. As a numerical example, the benchmark structure given by the ASCE is used for describing the process of the damage detection presented here.
© (2004) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Hongnan Li, Hongnan Li, Hong-Min Sun, Hong-Min Sun, Gangbing Song, Gangbing Song, } "Damage diagnosis of framework structure based on wavelet packet analysis and neural network", Proc. SPIE 5391, Smart Structures and Materials 2004: Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems, (29 July 2004); doi: 10.1117/12.538750; https://doi.org/10.1117/12.538750
PROCEEDINGS
10 PAGES


SHARE
Back to Top