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

F. Inoue, S. Doi, T. Okada, Yutaka Ota

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

    5 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
    Title of host publication2009 26th International Symposium on Automation and Robotics in Construction, ISARC 2009
    Pages379-388
    Number of pages10
    Publication statusPublished - 2009
    Event2009 26th International Symposium on Automation and Robotics in Construction, ISARC 2009 - Austin, TX
    Duration: 2009 Jun 242009 Jun 27

    Other

    Other2009 26th International Symposium on Automation and Robotics in Construction, ISARC 2009
    CityAustin, TX
    Period09/6/2409/6/27

    Fingerprint

    Wavelet analysis
    Tile
    Inspection
    Robots
    Acoustic waves
    Mortar
    Deterioration
    Concretes
    Substrates

    ASJC Scopus subject areas

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

    Cite this

    Inoue, F., Doi, S., Okada, T., & Ota, Y. (2009). Development of automated inspection robot and diagnosis method for tile wall separation by wavelet analysis. In 2009 26th International Symposium on Automation and Robotics in Construction, ISARC 2009 (pp. 379-388)

    Development of automated inspection robot and diagnosis method for tile wall separation by wavelet analysis. / Inoue, F.; Doi, S.; Okada, T.; Ota, Yutaka.

    2009 26th International Symposium on Automation and Robotics in Construction, ISARC 2009. 2009. p. 379-388.

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

    Inoue, F, Doi, S, Okada, T & Ota, Y 2009, Development of automated inspection robot and diagnosis method for tile wall separation by wavelet analysis. in 2009 26th International Symposium on Automation and Robotics in Construction, ISARC 2009. pp. 379-388, 2009 26th International Symposium on Automation and Robotics in Construction, ISARC 2009, Austin, TX, 09/6/24.
    Inoue F, Doi S, Okada T, Ota Y. Development of automated inspection robot and diagnosis method for tile wall separation by wavelet analysis. In 2009 26th International Symposium on Automation and Robotics in Construction, ISARC 2009. 2009. p. 379-388
    Inoue, F. ; Doi, S. ; Okada, T. ; Ota, Yutaka. / Development of automated inspection robot and diagnosis method for tile wall separation by wavelet analysis. 2009 26th International Symposium on Automation and Robotics in Construction, ISARC 2009. 2009. pp. 379-388
    @inproceedings{b8484d8080844abf9c77466244b8891c,
    title = "Development of automated inspection robot and diagnosis method for tile wall separation by wavelet analysis",
    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.",
    author = "F. Inoue and S. Doi and T. Okada and Yutaka Ota",
    year = "2009",
    language = "English",
    pages = "379--388",
    booktitle = "2009 26th International Symposium on Automation and Robotics in Construction, ISARC 2009",

    }

    TY - GEN

    T1 - Development of automated inspection robot and diagnosis method for tile wall separation by wavelet analysis

    AU - Inoue, F.

    AU - Doi, S.

    AU - Okada, T.

    AU - Ota, Yutaka

    PY - 2009

    Y1 - 2009

    N2 - 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.

    AB - 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.

    UR - http://www.scopus.com/inward/record.url?scp=78751504883&partnerID=8YFLogxK

    UR - http://www.scopus.com/inward/citedby.url?scp=78751504883&partnerID=8YFLogxK

    M3 - Conference contribution

    SP - 379

    EP - 388

    BT - 2009 26th International Symposium on Automation and Robotics in Construction, ISARC 2009

    ER -