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

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

Research output: Contribution to conferencePaperpeer-review

6 Citations (Scopus)

Abstract

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.

Original languageEnglish
Pages379-388
Number of pages10
DOIs
Publication statusPublished - 2009
Event2009 26th International Symposium on Automation and Robotics in Construction, ISARC 2009 - Austin, TX, United States
Duration: 2009 Jun 242009 Jun 27

Conference

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

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Vision and Pattern Recognition
  • Building and Construction

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