A neural network-based system for bridge health monitoring

Tzu-Kang Lin, Ming Chih Huang*, Jer Fu Wang

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations

Abstract

A bridge health monitoring system based on neural network technology is proposed in this paper. Two major ground excitations recorded in Taiwan were used to establish the NARX-based system. Analytical results from different methods including transfer function, ARX-based model, and the proposed neural network-based system were used to evaluate the efficiency in health monitoring. The result shows that the proposed system can be used successfully with superior advantages after major earthquakes for bridge health monitoring.

Original languageEnglish
Title of host publicationManagement, Manufacturing and Materials Engineering
Pages557-563
Number of pages7
DOIs
StatePublished - 23 Feb 2012
Event2011 International Conference on Management, Manufacturing and Materials Engineering, ICMMM 2011 - Zhengzhou, China
Duration: 8 Dec 201110 Dec 2011

Publication series

NameAdvanced Materials Research
Volume452-453
ISSN (Print)1022-6680

Conference

Conference2011 International Conference on Management, Manufacturing and Materials Engineering, ICMMM 2011
CountryChina
CityZhengzhou
Period8/12/1110/12/11

Keywords

  • Bridge health monitoring
  • Nonlinear characteristic
  • System identification

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  • Cite this

    Lin, T-K., Huang, M. C., & Wang, J. F. (2012). A neural network-based system for bridge health monitoring. In Management, Manufacturing and Materials Engineering (pp. 557-563). (Advanced Materials Research; Vol. 452-453). https://doi.org/10.4028/www.scientific.net/AMR.452-453.557