Bayesian Belief Networks for predicting drinking water distribution system pipe breaks

Reliability Engineering and System Safety

Volumn 130, Issue , 2014, Pages 1-11

  Francis, Royce A ^a   Guikema, Seth D ^b   Henneman, Lucas ^b  

^a The George Washington University   (United States)

^b Johns Hopkins University   (United States)

Author keywords

Bayesian Belief Networks; Drinking water distribution systems; Expert systems; Graphical models

Indexed keywords

ARTIFICIAL INTELLIGENCE; ASSET MANAGEMENT; BAYESIAN NETWORKS; EXPERT SYSTEMS; INFORMATION MANAGEMENT; LEARNING SYSTEMS; MODELS; POTABLE WATER; UNCERTAINTY ANALYSIS; WATER DISTRIBUTION SYSTEMS; WATER QUALITY;

DISTRIBUTION SYSTEMS; GRAPHICAL MODEL; MACHINE LEARNING TECHNIQUES; MANAGEMENT PLANNING; MODEL EVALUATION; MODEL UNCERTAINTIES; MUTUAL INFORMATIONS; WATER QUALITY DETERIORATION;

PIPE;

EID: 84901397422     PISSN: 09518320     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.ress.2014.04.024     Document Type: Article

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