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RISPerformance Evaluation of Pipe Break Machine Learning Models Using Datasets from Multiple Utilities
Publisher: ASCE
Abstract: Water pipeline infrastructures are critical for the delivery of lifeline services; however, these aging systems are experiencing increasing breakage rates. To assist utilities in identifying the most vulnerable assets, ...
Statistical Modeling in Absence of System Specific Data: Exploratory Empirical Analysis for Prediction of Water Main Breaks
Publisher: American Society of Civil Engineers
Abstract: The replacement of deteriorating distribution pipes is an important process for water utilities. It helps reduce capital spending on water main breaks and improves customer satisfaction. To assist with the development of ...
Statistical Modeling in Absence of System Specific Data: Exploratory Empirical Analysis for Prediction of Water Main Breaks
Publisher: American Society of Civil Engineers
Abstract: The replacement of deteriorating distribution pipes is an important process for water utilities. It helps reduce capital spending on water main breaks and improves customer satisfaction. To assist with the development of ...