A novel bridge structure damage diagnosis algorithm based on statistical pattern recognition

Haitao Xiao, Cheng Lu, Harutoshi Ogai, Koushik Roy

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

1 Citation (Scopus)

Abstract

This paper presents a structure damage detection algorithm based on statistical pattern recognition to analyze the acquired data to evaluate the health level of bridge. In this algorithm a novel statistical pattern recognition damage detection algorithm including a new damage sensitive index DSPR is proposed to determine the severity and location of damages. This paper also presents simulation and experiment, including a detection experiment of making artificial damage to a real bridge, to show that our design choices are indeed quite effective.

Original languageEnglish
Title of host publicationProceedings of the SICE Annual Conference
PublisherSociety of Instrument and Control Engineers (SICE)
Pages775-780
Number of pages6
ISBN (Print)9784907764463
DOIs
Publication statusPublished - 2014 Oct 23
Event2014 53rd Annual Conference of the Society of Instrument and Control Engineers of Japan, SICE 2014 - Sapporo
Duration: 2014 Sep 92014 Sep 12

Other

Other2014 53rd Annual Conference of the Society of Instrument and Control Engineers of Japan, SICE 2014
CitySapporo
Period14/9/914/9/12

Fingerprint

Pattern recognition
Damage detection
Experiments
Health

Keywords

  • bridge diagnosis
  • Statistical pattern recognition
  • system design
  • WSN (wireless sensor network)

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Control and Systems Engineering
  • Computer Science Applications

Cite this

Xiao, H., Lu, C., Ogai, H., & Roy, K. (2014). A novel bridge structure damage diagnosis algorithm based on statistical pattern recognition. In Proceedings of the SICE Annual Conference (pp. 775-780). [6935224] Society of Instrument and Control Engineers (SICE). https://doi.org/10.1109/SICE.2014.6935224

A novel bridge structure damage diagnosis algorithm based on statistical pattern recognition. / Xiao, Haitao; Lu, Cheng; Ogai, Harutoshi; Roy, Koushik.

Proceedings of the SICE Annual Conference. Society of Instrument and Control Engineers (SICE), 2014. p. 775-780 6935224.

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

Xiao, H, Lu, C, Ogai, H & Roy, K 2014, A novel bridge structure damage diagnosis algorithm based on statistical pattern recognition. in Proceedings of the SICE Annual Conference., 6935224, Society of Instrument and Control Engineers (SICE), pp. 775-780, 2014 53rd Annual Conference of the Society of Instrument and Control Engineers of Japan, SICE 2014, Sapporo, 14/9/9. https://doi.org/10.1109/SICE.2014.6935224
Xiao H, Lu C, Ogai H, Roy K. A novel bridge structure damage diagnosis algorithm based on statistical pattern recognition. In Proceedings of the SICE Annual Conference. Society of Instrument and Control Engineers (SICE). 2014. p. 775-780. 6935224 https://doi.org/10.1109/SICE.2014.6935224
Xiao, Haitao ; Lu, Cheng ; Ogai, Harutoshi ; Roy, Koushik. / A novel bridge structure damage diagnosis algorithm based on statistical pattern recognition. Proceedings of the SICE Annual Conference. Society of Instrument and Control Engineers (SICE), 2014. pp. 775-780
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