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Comparison of four models to rank failure likelihood of individual pipes

From National Research Council Canada

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DOIResolve DOI: https://doi.org/10.2166/hydro.2011.029
AuthorSearch for: 1; Search for: 1
Affiliation
  1. National Research Council of Canada. NRC Institute for Research in Construction
FormatText, Article
SubjectPipes and pipelines
Abstract
This paper describes alternative models developed into operational tools that can assist network owners and planners to identify individual mains for renewal in their water distribution networks. Four models were developed and compared: a heuristic model, naïve Bayesian classification model, a model based on logistic regression and finally a probabilistic model based on the Non Homogeneous Poisson Process (NHPP). These models rank individual water mains in terms of their anticipated breakage frequency, while considering both static (e.g., pipe material, diameter, vintage, surrounding soil, etc.) and dynamic (e.g., climate, operations, cathodic protection, etc.) effects influencing pipe deterioration rates.
Publication date
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  • Journal of Hydroinformatics 14, no. 3 (1 June 2012): 659–681.
LanguageEnglish
Peer reviewedYes
NRC numberNRCC 55236
NRC-IRC-22225
NPARC number20375046
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Record identifiercea030fd-fba6-49a3-9b88-017dd7e0c3f2
Record created2012-07-23
Record modified2020-04-21
Date modified: