Title :
A Time-Delay Neural Networks Architecture for Structural Damage Detection
Author_Institution :
Coll. of Electron. & Inf. Eng., Chengdu Univ., Chengdu
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;
Conference_Titel :
Advanced Computer Control, 2009. ICACC '09. International Conference on
Conference_Location :
Singapore
Print_ISBN :
978-1-4244-3330-8
DOI :
10.1109/ICACC.2009.75
