Comparison of automatic and guided learning for Bayesian networks to analyse pipe failures in the water distribution system-Reference-Cited by-同舟云学术

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Comparison of automatic and guided learning for Bayesian networks to analyse pipe failures in the water distribution system

Published:2019-06 Issue: Volume:186 Page:24-36
ISSN:0951-8320
Container-title:Reliability Engineering & System Safety
language:en
Short-container-title:Reliability Engineering & System Safety

Author:

Tang Kayu,Parsons David J.^ORCID,Jude Simon^ORCID

Funder

UK Water Industry Research Ltd

Engineering and Physical Sciences Research Council

Publisher

Elsevier BV

Subject

Industrial and Manufacturing Engineering,Safety, Risk, Reliability and Quality

Reference58 articles.

1. Costs for water supply distribution system rehabilitation;Selvakumar;Water Resour Plan Manag ASCE,2002

2. Statistical modelling of pipe failures in water networks;Røstum,2000

3. Effect of seasonal climatic variance on water main failure frequencies in moderate climate regions;Fuchs-Hanusch;Water Sci Technol Water Supply,2013

4. A method for exploring the interdependencies and importance of critical infrastructures;Huang;Knowledge Based Syst,2014

5. A data mining approach to modelling of water supply assets;Babovic;Urban Water,2002

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