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

Haitao Xiao, Cheng Lu, Harutoshi Ogai, Koushik Roy

研究成果: Conference contribution

1 引用 (Scopus)

抜粋

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.

元の言語English
ホスト出版物のタイトルProceedings of the SICE Annual Conference
出版者Society of Instrument and Control Engineers (SICE)
ページ775-780
ページ数6
ISBN(電子版)9784907764463
DOI
出版物ステータスPublished - 2014 10 23
イベント2014 53rd Annual Conference of the Society of Instrument and Control Engineers of Japan, SICE 2014 - Sapporo, Japan
継続期間: 2014 9 92014 9 12

出版物シリーズ

名前Proceedings of the SICE Annual Conference

Conference

Conference2014 53rd Annual Conference of the Society of Instrument and Control Engineers of Japan, SICE 2014
Japan
Sapporo
期間14/9/914/9/12

ASJC Scopus subject areas

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

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  • これを引用

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