Decision-support system for the rehabilitation of deteriorating sewers

Journal of Performance of Constructed Facilities

Volumn 21, Issue 3, 2007, Pages 240-248

  Bairaktaris, D ^a   Delis, V ^b   Emmanouilidis, C ^c   Frondistou Yannas, S ^d   Gratsias, K ^b   Kallidromitis, V ^e   Rerras, N ^f  

^a DBA Ltd   (Greece)

^b Univ of Patras   (Greece)

^c Head Computational Systems and Applications Athena   (Greece)

^d TECNIC SPA ^*  (Greece)

^e TECNIC SPA   (Italy)

^f ZENON SA   (Greece)

Author keywords

Deterioration; Inspection; Neural networks; Rehabilitation; Sewers

Indexed keywords

CRACK DETECTION; DECISION SUPPORT SYSTEMS; DETERIORATION; EXPERT SYSTEMS; NEURAL NETWORKS; RESTORATION; STRUCTURAL ANALYSIS;

FRAME SEQUENCE PROCESSING; INTEGRATED DETECTION; STRUCTURAL ASSESSMENT; VIDEO FOOTAGE;

SEWERS;

EID: 34248524667     PISSN: 08873828     EISSN: None     Source Type: Journal    
DOI: 10.1061/(ASCE)0887-3828(2007)21:3(240)     Document Type: Article

References (13)

1. Cambell, G. K., Rogers, K., and Gilbert, J. (1995). " PIRAT-A system for quantitative sewer assessment.. " Proc., 12th Int. No-Dig Conference (No-Dig'95), Messe und Congress GmbH, Hamburg, Germany, 455-462.
2. Chae, M. J., and Abraham, D. M. (2001). " Neuro-fuzzy approaches for sanitary sewer pipeline condition assessment.. " J. Comput. Civ. Eng., 15 (1), 4-14.
3. Corder, S., Berns, K., Eberl, M., Ilg, W., and Suna, R. (1997). " Automated sewer inspection with a wheeled multiarticulated robot.. " Rob. Auton. Syst., 21 (1), 123-135.
4. Information Society Technologies. (2002). " ISAAC inspecting sewerage systems and image analysis by computer.. " Project No. IST-2001-33266, 〈 http://cmp.felk.cvut.cz/projects/isaac/ 〉 (Nov. 2, 2005).
5. Kohonen, T. (2001). " Self-organizing maps.. " Springer series in information sciences, Vol. 30, Springer, Berlin.
6. Kuntze, H. B., Schmidt, D., Haffner, H., and Loh, M. (1995). " KARO-A flexible robot for smart sensor-based sewer inspection.. " Proc., 12th Int. No-Dig Conference (No-Dig'95), Messe und Congress GmbH, Hamburg, Germany, 367-374.
7. Makar, J. M. (1999). " Diagnostic techniques for sewer systems.. " J. Infrastruct. Syst., 5 (2), 69-78.
8. McKim, R. A., and Sinha, S. K. (2000). " Condition assessment of underground sewer pipes using a modified image processing paradigm.. " Trenchless Technol., 14 (2), 29-37.
9. Moselhi, O., and Shehab-Eldeen, T. (1999). " Automated detection of surface defects in water and sewer pipes.. " Autom. Constr., 8 (5), 581-588.
10. Pridmore, T. P., Cooper, D., and Taylor, N. (1997). " Estimating camera orientation from vanishing point location during sewer surveys.. " Autom. Constr., 5 (5), 407-419.
11. Rome, F., Hertzberg, J., Kirchner, F., Licht, U., and Christaller, T. (1999). " Towards autonomous sewer robots: The MAKRO project.. " Urban Water, 1 (1), 57-70.
12. Wirahadikushumah, R., Abraham, D. M., Iseley, T., and Prasanth, R. K. (1998). " Assessment technologies for sewer system rehabilitation.. " Autom. Constr., 7 (4), 259-270.
13. Xu, K., Luxemoore, A. R., and Davis, T. (1998). " Sewer pipe deformation assessment by image analysis of video surveys.. " Pattern Recogn., 31 (2), 169-180.