DocumentCode
2653938
Title
A Time-Delay Neural Networks Architecture for Structural Damage Detection
Author
Niu, Lin
Author_Institution
Coll. of Electron. & Inf. Eng., Chengdu Univ., Chengdu
fYear
2009
fDate
22-24 Jan. 2009
Firstpage
571
Lastpage
575
Abstract
In this paper the time-delay neural networks (TDNNs) have been implemented in detecting the damage in bridge structure using vibration signature analysis. A simulation study has been carried out for the incomplete measurement data. It has been observed that TDNNs have performed better than traditional neural networks in this application and the arithmetic of the TDNNs is simple.
Keywords
delays; neural net architecture; structural engineering computing; vibrations; bridge structure; structural damage detection; time-delay neural networks architecture; vibration signature analysis; Backpropagation algorithms; Bridges; Computer architecture; Computer networks; Delay effects; Educational institutions; Neural networks; Neurons; Spatiotemporal phenomena; Vibration measurement; Damage recognition; Time-delay Neural networks; bridge structure; simulation; vibration analysis;
fLanguage
English
Publisher
ieee
Conference_Titel
Advanced Computer Control, 2009. ICACC '09. International Conference on
Conference_Location
Singapore
Print_ISBN
978-1-4244-3330-8
Type
conf
DOI
10.1109/ICACC.2009.75
Filename
4777407
Link To Document