Study on automated inspection robot and quantitative detection of outer tile wall exfoliation by wavelet analysis

Fumihiro Inoue, Satoru Doi, Tatsuya Ishizaki, Yasuhiro Ikeda, Yutaka Ohta

Research output: Chapter in Book/Report/Conference proceedingConference contribution

9 Citations (Scopus)

Abstract

This paper describes an automated inspection robot for detecting tile exfoliation 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 exfoliations, we focused attention on wavelet analysis, which enables us to analyze the frequency element of the sound waveform on time phase continuously. By comparing the wavelet volume rate expressing the characteristics of tile deterioration for several scale tiles and striking hammers, the quantitative detection and its scale effects 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 the outer tile wall.

Original languageEnglish
Title of host publicationICCAS 2010 - International Conference on Control, Automation and Systems
Pages994-999
Number of pages6
Publication statusPublished - 2010 Dec 1
EventInternational Conference on Control, Automation and Systems, ICCAS 2010 - Gyeonggi-do, Korea, Republic of
Duration: 2010 Oct 272010 Oct 30

Publication series

NameICCAS 2010 - International Conference on Control, Automation and Systems

Conference

ConferenceInternational Conference on Control, Automation and Systems, ICCAS 2010
CountryKorea, Republic of
CityGyeonggi-do
Period10/10/2710/10/30

Keywords

  • Quantitative detection
  • Relative evaluation
  • Scale effect
  • Tile exfoliation
  • Wavelet analysis

ASJC Scopus subject areas

  • Artificial Intelligence
  • Control and Systems Engineering

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