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 被引用数 (Scopus)

抄録

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.

本文言語English
ホスト出版物のタイトルProceedings of the SICE Annual Conference
出版社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
CountryJapan
CitySapporo
Period14/9/914/9/12

ASJC Scopus subject areas

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

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