Urban Water Journal · 2012 · 120 citations · 51 references
PlanningCivil EngineeringInfrastructure PlanningInfrastructure Asset ManagementWater Resources EngineeringWater Resources PlanningAsset Condition AssessmentAsset DeteriorationInfrastructure Reliability AnalysisWater ManagementWater Supply EngineeringFailure ModelsFailure PredictionPipe Condition AssessmentPipe Failure AnalysisState-of-the-art ReviewUtility Asset AssessmentWater Management InfrastructureWater Service Reliability
This paper presents a state-of-the-technology literature and current practice review on water pipe condition, deterioration and failure rate prediction models in order to identify the gap between the models found in literature and those currently used by utilities around the world. Researchers have developed various methodologies in determining pipe condition and failure prediction over the last three decades. Their efforts are discussed in many literatures and articles but are not summarised by one document. In this report, more than 50 articles were reviewed from the last decade and are presented based on the type of methodology utilised. Nine utilities across the world with significant undertakings of water pipe infrastructure management are also presented which underline the current practice. In summary, both the literature and current practice are summarised to identify the gap between the models found in literature and water utility asset management practices.
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Statistical Models and Methods for Lifetime Data.
Brian Francis, Jerald F. Lawless · Biometrics · 1983 · 2.8K citations
Public Health, Biostatistics, Aging +13
Statistical Models in Engineering
K. A. Brownlee, Geo Hahn, S. S. Shapiro · Technometrics · 1968 · 1.2K citations
Natural Sciences, Systems Engineering, Statistical Modeling +11