Experimental evaluation of intelligent fault detection system for inspection of sewer pipes

Author

Ahrary, Alireza ; Ishikawa, Masumi ; Okada, Minoru

Author_Institution

Waseda Univ., Kitakyushu

fYear

2007

fDate

Oct. 29 2007-Nov. 2 2007

Firstpage

1248

Lastpage

1253

Abstract

Automation is an important issue in industry, particularly in inspection of underground facilities. This paper describes experimental evaluation of intelligent system for automatically detecting faulty areas in a real sewer pipe system. The proposed system can detect various types of faults and be implemented in a real time system. Its detection performance is 100%, when the false positive rate is 34%. This ratio is acceptable for sewer inspection, and the reduction of time and cost is also realized.

Keywords

crack detection; edge detection; fault diagnosis; graphical user interfaces; inspection; mechanical engineering computing; pipes; robot vision; GUI; cost reduction; edge detection; experimental evaluation; industrial automation; inspection robot; intelligent fault detection system; real time system; sewer pipes inspection; time reduction; underground facilities inspection; Building materials; Cameras; Costs; Fault detection; Infrared detectors; Inspection; Intelligent robots; Intelligent systems; Radar detection; Surface cracks;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Robots and Systems, 2007. IROS 2007. IEEE/RSJ International Conference on

Conference_Location

San Diego, CA

Print_ISBN

978-1-4244-0912-9

Electronic_ISBN

978-1-4244-0912-9

Type

conf

DOI

10.1109/IROS.2007.4399400

Filename

4399400