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Modelling the failure risk for water supply networks with interval-censored data

机译:使用间隔检查数据对供水网络的故障风险进行建模

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In reliability, sometimes some failures are not observed at the exact moment of the occurrence. In that case it can be more convenient to approximate them by a time interval. In this study, we have used a generalized non-linear model developed for interval-censored data to treat the life time of a pipe from its time of installation until its failure. The aim of this analysis was to identify those network characteristics that may affect the risk of failure and we make an exhaustive validation of this analysis. The results indicated that certain characteristics of the network negatively affected the risk of failure of the pipe: an increase in the length and pressure of the pipes, a small diameter, some materials used in the manufacture of pipes and the traffic on the street where the pipes are located. Once the model has been correctly fitted to our data, we also provided simple tables that will allow companies to easily calculate the pipe's probability of failure in a future. (C) 2015 Elsevier Ltd. All rights
机译:在可靠性方面,有时在发生的确切时刻没有观察到某些故障。在这种情况下,按时间间隔对它们进行近似会更方便。在这项研究中,我们使用针对间隔检查数据开发的广义非线性模型来处理从安装到故障的管道的使用寿命。该分析的目的是确定可能影响故障风险的网络特征,我们对此分析进行了详尽的验证。结果表明,网络的某些特性会对管道的故障风险产生负面影响:管道的长度和压力增加,直径小,制造管道时使用的某些材料以及街道上的交通情况。管道位于。一旦模型正确地适合我们的数据,我们还将提供简单的表格,使公司可以轻松地计算出管道将来发生故障的可能性。 (C)2015 Elsevier Ltd.版权所有

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