Comparison of four models to rank failure likelihood of individual pipes

Download
  1. (PDF, 695 KB)
  2. Get@NRC: Comparison of four models to rank failure likelihood of individual pipes (Opens in a new window)
DOIResolve DOI: http://doi.org/10.2166/hydro.2011.029
AuthorSearch for: ; Search for:
TypeArticle
Journal titleJournal of Hydroinformatics
Volume14
Issue3
Pages659?681
SubjectPipes and pipelines
AbstractThis 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
LanguageEnglish
AffiliationNRC Institute for Research in Construction; National Research Council Canada
Peer reviewedYes
NRC number55236
22225
NPARC number20375046
Export citationExport as RIS
Report a correctionReport a correction
Record identifiercea030fd-fba6-49a3-9b88-017dd7e0c3f2
Record created2012-07-23
Record modified2016-05-09
Bookmark and share
  • Share this page with Facebook (Opens in a new window)
  • Share this page with Twitter (Opens in a new window)
  • Share this page with Google+ (Opens in a new window)
  • Share this page with Delicious (Opens in a new window)