Forecasting watermain failure using artificial neural network modelling

Canadian Water Resources Journal

Volumn 38, Issue 1, 2013, Pages 24-33

  Asnaashari, Ahmad ^a,b   McBean, Edward A ^b   Gharabaghi, Bahram ^b   Tutt, Donald ^b  

^a SHAHID BEHESHTI UNIVERSITY   (Iran)

^b UNIVERSITY OF GUELPH   (Canada)

Author keywords

[No Author keywords available]

Indexed keywords

CEMENT MORTAR LININGS; DISTRIBUTION SYSTEMS; INDEPENDENT VARIABLES; INFRASTRUCTURE MAINTENANCE; MULTIPLE LINEAR REGRESSION METHOD; PREDICTIVE CAPABILITIES; REHABILITATION PLANNING; WATER DISTRIBUTIONS;

CATHODIC PROTECTION; LINEAR REGRESSION; MAINTENANCE; MILITARY OPERATIONS; WATER SUPPLY SYSTEMS;

NEURAL NETWORKS;

EID: 84880940002     PISSN: 07011784     EISSN: None     Source Type: Journal    
DOI: 10.1080/07011784.2013.774153     Document Type: Article

References (40)

1. Ahn, J. C, S. W. Lee, G. S. Lee, and J. Y. Koo. 2005. "Predicting water pipe breaks using neural network." Water Science and Technology: Water Supply 5 (3-4): 159-172.
2. Al-Barqawi, H., and T Zayed. 2008. "Infrastructure management: integrated AHP/ANN model to evaluate municipal watermains' performance." Journal of Infrastructure Systems 14 (4): 305-318.
3. Asnaashari, A., E. A. McBean, I. Shahrour, and B. Gharabaghi. 2009. "Prediction of watermain failure frequencies using multiple and Poisson regression." Water Science and Technology: Water Supply 9 (1): 9-19.
4. Bowden, G. J., J. B. Nixon, G. C. Dandy, H. R. Maier, and M. Holmes. 2006. "Forecasting chlorine residuals in a water distribution system using a general regression neural network." Mathematical and Computer Modelling 44 (5-6): 469-484.
5. Caudill, M. 1988. "Neural networks primer, Part III." AI Expert 3 (6): 53-59.
6. Chambers, G. M. 1994. "Reducing water utility costs in Winnipeg." In Proceedings of the Western Canada Water and Wastewater Association Conference, 1-12. Winnipeg, Canada: Western Canada Water and Wastewater Association.
7. Ciottoni, A. S. 1985. "Updating the New York City water system." In Proceedings of the Specialty Conference on Infrastructure for Urban Growth, edited by J. P. Guyer, 69-77. New York: American Society of Civil Engineers.
8. City of Toronto. 2009. Watermains and watermain breaks. Water supply: fact sheets. Accessed January 2011. http://www.toronto.ca/water/supply/system/water-mains.htm.
9. Cybenko, G. 1989. "Approximation by Superpositions of a Sig-moidal Function." Mathematics of Control, Signals, and Systems 2: 303-314.
10. Dandy, G. C, and M. Engelhardt. 2001. "The optimal scheduling of water main replacement using genetic algorithms." Journal of Water Resources Planning and Management ASCE 127 (4): 214-223.
11. Despagne, F., and D. L. Massart. 1998. "Tutorial review: neural networks in multivariate calibration." The Analyst 123: 157R-178R.
12. Goulter, I. C, and A. Kazemi. 1988. "Spatial and temporal groupings of watermain pipe breakage in Winnipeg." Canadian Journal of Civil Engineering 15 (1): 91-97.
13. Habibian, A. 1994. "Effect of temperature changes on water-main break." Journal of Transportation Engineering 120 (2): 312-321.
14. Hajela, P., and L. Berke. 1991. "Neurobiological computational modes in structural analysis and design." Computers & Structures 41 (4): 657-667.
15. Hecht-Nielsen, R. 1989. "Theory of the back-propagation neural network." Vol. 1 of Proceedings of the International Joint Conference on Neural Networks, 593-606. Washington, DC: IEEE TAB Neural Network Committee.
16. Ho, C. I., M. D. Lin, and S. L. Lo. 2009. "Use of GIS-based hybrid artificial neural network to prioritize the order of pipe replacement in a water distribution network." Journal of Environmental Monitoring and Assessment 166 (1-4): 177-189. doi: 10.1007/s10661-009-0994-6.
17. Hornik, K., M. Stinchcombe, and H. White. 1989. "Multilayer Feedforward Networks are Universal Approximators." Neural Networks 2 (5): 359-366.
18. Jafar, R., I. Shahrour, and I. Juran. 2010. "Application of Artificial Neural Networks (ANN) to model the failure of urban water mains." Mathematical and Computer Modelling 51 (9-10): 1170-1180.
19. Kleiner Y, S. McDonald, and B. Rajani. 2003. "Cathodic protection of water mains in Ottawa: analysis and planning." Corrosion Control for Enhanced Reliability and Safety: 1-14.
20. Kleiner, Y, and B. Rajani. 2001. "Comprehensive review of structural deterioration of watermains: statistical models." Urban Water 3 (3): 131-150.
21. Kleiner, Y, and B. Rajani. 2002. "Forecasting variations and trends in water-main breaks." Journal of Infrastructure Systems 8 (4): 122-131.
22. Lackington, D. W, and J. M. Large. 1980. "The integrity of existing distribution systems." Journal of the Institution of Water Engineers and Scientists 34: 15-32.
23. Lochbaum, B. S. 1993. "PSE & G develops models to predict main breaks." Pipeline & Gas Journal 20 (9): 20-27.
24. Maier, H. R., and G. C. Dandy. 2000. "Neural networks for the prediction and forecasting of water resources variables: a review of modelling issues and applications." Environmental Modelling and Software 15: 101-124.
25. Moselhi, O., and T. Shehab-Eldeen. 2000. "Classification of defects in sewer pipes using neural networks." Journal of Infrastructure Systems 6 (3): 97-105.
26. Najjar, Y. M., and I. A. Basheer. 1996. "Neural network approach for site characterization and uncertainty prediction." ASCE Geotechnical Special Publication 58 (1): 134-148.
27. Najjar, Y. M., I. A. Basheer, and M. N. Hajmeer. 1997. "Computational neural networks for predictive microbiology: I. methodology." International Journal of Food Microbiology 34 (1): 27-49.
28. Needham, D., and M. Howe. 1981. "Why gas mains fail, Part 1." Pipe Line Industry 55: 47-50.
29. Newport, R. 1981. "Factors influencing the occurrence of bursts in iron watermains." Water Supply and Management 3: 274-278.
30. O'Day, D. K. 1982. "Organizing and analyzing leak and break data for making main replacement decisions." Journal of the American Water Works Association 74 (11): 589-594.
31. Pelletier, G., and J. -P. Villeneuve. 2003. "Modelling water pipe breaks - three case studies." Journal of Water Resources Planning and Management 129 (2): 115-123.
32. Press, J. 2009. Water main breaks shifting. The Whig. Accessed May 2012. http://www.thewhig.com/ArticleDisplay.aspx?e=1474179&archive=true.
33. Rogers P. D. and N. S. Grigg. 2009. "Failure assessment modelling to prioritize water pipe renewal: Two case studies." Journal of Infrastructure Systems 15 (3): 162-171.
34. Salchenberger, L. M., E. M. Cinar, and N. A. Lash. 1992. "Neural networks: A new tool for predicting thrift failures." Journal of Decision Sciences 23: 899-916.
35. Schuster, C, and E. McBean. 2008. "Impacts of cathodic protection on pipe break probabilities: A Toronto case study." Canadian Journal of Civil Engineering 35: 210-216.
36. Selvakumar, A., R. M. Clark, and M. Sivaganesan. 2002. "Costs for water supply distribution system rehabilitation." Journal of Water Resources Planning and Management 128 (4): 303-306.
37. Shahin, M. A., M. B. Jaksa, and H. R. Maier. 2002. "Artificial neural network based settlement prediction formula for shallow foundations on granular soils." Australian Geome-chanics 37 (4): 45-52.
38. Shamir, U., and C. Howard. 1979. "Analytic approach to scheduling pipe replacement." Journal of the American Water Works Association 71 (5): 248-258.
39. Tabesh, M., J. Soltani, R. Farmani and D. Savic. 2009, Assessing pipe failure rate and mechanical reliability of water distribution networks using data-driven modelling. Journal of Hydroinformatics (11)1: 1-17.
40. Walski, T. M., and A. Pelliccia. 1982. "Economic analyses of watermain breaks." Journal of the American Water Works Association 74 (3): 140-147.