Development of automated inspection robot and diagnosis method for tile wall separation by wavelet analysis

F. Inoue*, S. Doi, T. Okada, Y. Ohta

*この研究の対応する著者

研究成果: Paper査読

7 被引用数 (Scopus)

抄録

This paper describes the development of an automated inspection robot for detecting tile deterioration and a new diagnostic method for determining its existence and extent. The robot moves quickly along a vertical wall and stops to detect a tile's inner condition using a hammering sound. Tile separation commonly comprises outer exfoliation where the tile separates from the mortar concrete and inner exfoliation where the space between the substrate and the mortar concrete deteriorates. In order to detect these two modes by a hammering sound, we focused attention on wavelet analysis, which enables us to analyze the frequency element of the sound waveform. By comparing the wavelet volume rate expressing the characteristics of tile deterioration, a method of visually distinguishing the two exfoliation modes was established. The automated robot and the diagnostics method were used to perform a fast and highly accurate inspection of a tile wall.

本文言語English
ページ379-388
ページ数10
DOI
出版ステータスPublished - 2009
イベント2009 26th International Symposium on Automation and Robotics in Construction, ISARC 2009 - Austin, TX, United States
継続期間: 2009 6 242009 6 27

Conference

Conference2009 26th International Symposium on Automation and Robotics in Construction, ISARC 2009
国/地域United States
CityAustin, TX
Period09/6/2409/6/27

ASJC Scopus subject areas

  • 人工知能
  • コンピュータ ビジョンおよびパターン認識
  • 建築および建設

フィンガープリント

「Development of automated inspection robot and diagnosis method for tile wall separation by wavelet analysis」の研究トピックを掘り下げます。これらがまとまってユニークなフィンガープリントを構成します。

引用スタイル