Improvement of Practical Utility of Damage Assessment System for Bridge Based on Pattern Recognition Considering Exception Extraction

• Furuta Hitoshi

  関西大学　総合情報学部総合情報学科

• Ishibashi Ken

  関西大学大学院　総合情報学研究科

• Nomura Yasutoshi

  立命館大学　理工学部機械工学科

• Nakatsu Koichiro

  大阪城南女子短期大学　現代生活学科

Bibliographic Information

Other Title

• 例外検出を考慮したパターン認識に基づく橋梁損傷度判定の実用性の向上

Abstract

Recently, it has become difficult to keep the skill level of bridge maintenance engineers due to the retirement of experienced engineers. Hence, the daily inspection for bridges cannot be performed accurately and efficiently in order to detect damages early and take appropriate measures. This study attempts to develop a support system for decision making of the damage assessment of bridges based on the pattern recognition considering the exception extraction. In this system, the exception extraction with one-class SVM removes some data that may cause the decrease of generalization capability of pattern recognition from the database. Therefore, it is guessed that the accuracy and confidence of recognized result are improved. Numerical examples applying digital images of RC slab of bridges with cracks are presented to demonstrate the practical utility of the approach of this study.

Journal

• Journal of Japan Society of Civil Engineers, Ser. A2 (Applied Mechanics (AM))

  Journal of Japan Society of Civil Engineers, Ser. A2 (Applied Mechanics (AM)) 69 (2), I_751-I_760, 2013

  Japan Society of Civil Engineers

Keywords

• damage assessment for bridge
• pattern recognition
• exception extraction

Details

• CRID: 1390001205350257024
• NII Article ID: 130004557407
• DOI: 10.2208/jscejam.69.i_751
• ISSN: 21854661
• Text Lang: ja
• Data Source:
  • JaLC
  • Crossref
  • CiNii Articles
  • KAKEN
• Abstract License Flag: Disallowed