Improving urban water security through pipe-break prediction models: machine learning or survival analysis

B Snider, EA McBean - Journal of Environmental Engineering, 2020 - ascelibrary.org
North America's water distribution systems are aging and incurring increased pipe breaks.
These breaks pose a serious threat to urban drinking water security, leading to service …

Watermain breaks and data: The intricate relationship between data availability and accuracy of predictions

B Snider, EA McBean - Urban Water Journal, 2020 - Taylor & Francis
Many water utilities are facing a crisis of aging infrastructure. Aging pipes are deteriorating,
and pipe breaks are increasing. A variety of pipe break prediction models have been …

Combining machine learning and survival statistics to predict remaining service life of watermains

B Snider, EA McBean - Journal of Infrastructure Systems, 2021 - ascelibrary.org
Abstract Distribution systems throughout North America are deteriorating and pipe breaks
are increasing. To deal with these infrastructure crises, utilities have begun to adopt …

Improving pipe failure predictions: Factors affecting pipe failure in drinking water networks

NA Barton, TS Farewell, SH Hallett, TF Acland - Water research, 2019 - Elsevier
To reduce leakage and improve service levels, water companies are increasingly using
statistical models of pipe failure using infrastructure, weather and environmental data …

Pipe break prediction based on evolutionary data-driven methods with brief recorded data

Q Xu, Q Chen, W Li, J Ma - Reliability Engineering & System Safety, 2011 - Elsevier
Pipe breaks often occur in water distribution networks, imposing great pressure on utility
managers to secure stable water supply. However, pipe breaks are hard to detect by the …

A comparative study of statistical and machine learning methods to infer causes of pipe breaks in water supply networks

C Konstantinou, I Stoianov - Urban Water Journal, 2020 - Taylor & Francis
Water supply pipes age, deteriorate and break, which puts at risk the continuous provision of
safe potable water endangering the public health in cities. Risk management methods are …

Statistical models for the analysis of water distribution system pipe break data

S Yamijala, SD Guikema, K Brumbelow - Reliability Engineering & System …, 2009 - Elsevier
The deterioration of pipes leading to pipe breaks and leaks in urban water distribution
systems is of concern to water utilities throughout the world. Pipe breaks and leaks may …

An evolution of statistical pipe failure models for drinking water networks: a targeted review

NA Barton, SH Hallett, SR Jude, TH Tran - Water Supply, 2022 - iwaponline.com
The use of statistical models to predict pipe failures has become an important tool for
proactive management of drinking water networks. This targeted review provides an …

Comparison of four models to rank failure likelihood of individual pipes

Y Kleiner, B Rajani - Journal of Hydroinformatics, 2012 - iwaponline.com
The use of statistical methods to discern patterns of historical breakage rates and use them
to predict water main breaks has been widely documented. Particularly challenging is the …

Bayesian belief networks for predicting drinking water distribution system pipe breaks

RA Francis, SD Guikema, L Henneman - Reliability Engineering & System …, 2014 - Elsevier
In this paper, we use Bayesian Belief Networks (BBNs) to construct a knowledge model for
pipe breaks in a water zone. To the authors' knowledge, this is the first attempt to model …