Damage diagnosis of framework structure based on wavelet packet analysis and neural network

Hongnan Li; Hong-Min Sun; Gangbing Song

doi:10.1117/12.538750

29 July 2004 Damage diagnosis of framework structure based on wavelet packet analysis and neural network

Hongnan Li, Hong-Min Sun, Gangbing Song

Proceedings Volume 5391, Smart Structures and Materials 2004: Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems; (2004) https://doi.org/10.1117/12.538750
Event: Smart Structures and Materials, 2004, San Diego, CA, United States

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.

Citation Download Citation

Hongnan Li, Hong-Min Sun, and 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); https://doi.org/10.1117/12.538750

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