Predicting the Timing of Water Main Failure Using Artificial Neural Networks

Exploration of the relationship between water main breaks and temperature covariates

(2012) Balvant Rajani et al.   Urban Water Journal

Application of Artificial Neural Networks (ANN) to model the failure of urban water mains

(2010) Raed Jafar et al.   MATHEMATICAL AND COMPUTER MODELLING

Water Network Assessment and Reliability Analysis by Use of Survival Analysis

(2010) Symeon E. Christodoulou   WATER RESOURCES MANAGEMENT

Hierarchical Fuzzy Expert System for Risk of Failure of Water Mains

(2010) Hussam Fares et al.   Journal of Pipeline Systems Engineering and Practice

Use of a GIS-based hybrid artificial neural network to prioritize the order of pipe replacement in a water distribution network

(2009) Cheng-I Ho et al.   ENVIRONMENTAL MONITORING AND ASSESSMENT

Prediction Models for Annual Break Rates of Water Mains

(2009) Yong Wang et al.   JOURNAL OF PERFORMANCE OF CONSTRUCTED FACILITIES

Impacts of cathodic protection on pipe break probabilities: a Toronto case study

(2008) C. J. Schuster et al.   CANADIAN JOURNAL OF CIVIL ENGINEERING

Assessing pipe failure rate and mechanical reliability of water distribution networks using data-driven modeling

(2008) M. Tabesh et al.   JOURNAL OF HYDROINFORMATICS

Infrastructure Management: Integrated AHP/ANN Model to Evaluate Municipal Water Mains’ Performance

(2008) Hassan Al-Barqawi et al.   Journal of Infrastructure Systems