Search
Now showing items 1-3 of 3
Improving Urban Water Security through Pipe-Break Prediction Models: Machine Learning or Survival Analysis
Publisher: ASCE
Abstract: 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 interruptions, loss of revenue, and increasing ...
Combining Machine Learning and Survival Statistics to Predict Remaining Service Life of Watermains
Publisher: ASCE
Abstract: Distribution systems throughout North America are deteriorating and pipe breaks are increasing. To deal with these infrastructure crises, utilities have begun to adopt proactive pipe replacement models to determine which ...
Assessing the Impact of Pipe Rehabilitation on Decreasing Watermain Break Rates Using Random Survival Forest Models
Publisher: ASCE
Abstract: North America is facing an aging watermain infrastructure crisis. Pipes are surpassing their expected service life, and surveys continue to suggest that the rate of pipe breaks is increasing dramatically. This paper ...
CSV
RIS