Intelligent Structure Health Diagnosis Based on Neural Networks

CC
CIT
2004
Fourth International Conference on Computer and Information Technology (CIT'04)
Abstract - Intelligent Structure Health Diagnosis Based on Neural Networks

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Fourth International Conference on Computer and Information Technology (CIT'04)

Wuhan, China

September 14-September 16

ISBN: 0-7695-2216-5

	ASCII Text	x
	Pan Hao, Zhong Luo, "Intelligent Structure Health Diagnosis Based on Neural Networks," Computer and Information Technology, International Conference on, pp. 1045-1049, Fourth International Conference on Computer and Information Technology (CIT'04), 2004.

	BibTex	x
	@article{ 10.1109/CIT.2004.1357334, author = {Pan Hao and Zhong Luo}, title = {Intelligent Structure Health Diagnosis Based on Neural Networks}, journal ={Computer and Information Technology, International Conference on}, volume = {0}, year = {2004}, isbn = {0-7695-2216-5}, pages = {1045-1049}, doi = {http://doi.ieeecomputersociety.org/10.1109/CIT.2004.1357334}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, }

	RefWorks Procite/RefMan/Endnote	x
	TY - CONF JO - Computer and Information Technology, International Conference on TI - Intelligent Structure Health Diagnosis Based on Neural Networks SN - 0-7695-2216-5 SP1045 EP1049 A1 - Pan Hao, A1 - Zhong Luo, PY - 2004 KW - Neural Networks; Training Samples; structure health diagnosis VL - 0 JA - Computer and Information Technology, International Conference on ER -

Pan Hao, Wuhan University of Technology

Zhong Luo, Wuhan University of Technology

DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/CIT.2004.1357334

Identifying changes in the vibrational signatures of a structure is a promising tool in structural health diagnosis. Neural networks can be used for this purpose. This paper investigates the feasibility of using analytically generated training samples to train neural networks. This network, trained with analytically generated states of damage, was used to diagnose damage states obtained experimentally from a series of shaking table tests of s five-story steel frame. The results show that neural networks have a strong potential for making on-line structural health diagnosis a practical reality.

Index Terms:

Neural Networks; Training Samples; structure health diagnosis

Citation:

Pan Hao, Zhong Luo, "Intelligent Structure Health Diagnosis Based on Neural Networks," cit, pp.1045-1049, Fourth International Conference on Computer and Information Technology (CIT'04), 2004

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