Toward Sustainable Water Infrastructure: The State‐Of‐The‐Art for Modeling the Failure Probability of Water Pipes

Failures of water distribution networks (WDNs) are rising at an exponential rate, necessitating immediate attention. An effective way to reduce the failure rate is to develop accurate predictive models for the failure probability of water pipes, which are the most critical assets of WDNs. Despite th...

Full description

Saved in:

Bibliographic Details
Published in:	Water resources research Vol. 59; no. 4
Main Authors:	Taiwo, Ridwan, Ben Seghier, Mohamed El Amine, Zayed, Tarek
Format:	Journal Article
Language:	English
Published:	Washington John Wiley & Sons, Inc 01.04.2023
Subjects:	Analysis artificial intelligence bibliometric analysis Bibliometrics Decision making Failure failure probability Failure rates Frequency analysis infrastructure Learning algorithms Literature reviews Machine learning Mathematical models modeling Modelling Pipes Prediction models probability Probability theory Qualitative analysis state‐of‐the‐art review Statistical analysis Systematic review Water Water distribution water distribution network Water engineering Water pipelines Water pipes Water supply systems Water utilities
ISSN:	0043-1397, 1944-7973
Online Access:	Get full text
Tags:	Add Tag No Tags, Be the first to tag this record!

Be the first to leave a comment!