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统计失效模型在供水管中的应用——从统一视角的综述。

Statistical failure models for water distribution pipes - A review from a unified perspective.

机构信息

Eawag, Swiss Federal Institute of Aquatic Science and Technology, Überlandstrasse 133, 8600 Dübendorf, Switzerland.

Eawag, Swiss Federal Institute of Aquatic Science and Technology, Überlandstrasse 133, 8600 Dübendorf, Switzerland.

出版信息

Water Res. 2015 Oct 15;83:237-47. doi: 10.1016/j.watres.2015.06.027. Epub 2015 Jun 21.

Abstract

This review describes and compares statistical failure models for water distribution pipes in a systematic way and from a unified perspective. The way the comparison is structured provides the information needed by scientists and practitioners to choose a suitable failure model for their specific needs. The models are presented in a novel framework consisting of: 1) Clarification of model assumptions. The models originally formulated in different mathematical forms are all presented as failure rate. This enables to see differences and similarities across the models. Furthermore, we present a new conceptual failure rate that an optimal model would represent and to which the failure rate of each model can be compared. 2) Specification of the detailed data assumptions required for unbiased model calibration covering the structure and completeness of the data. 3) Presentation of the different types of probabilistic predictions available for each model. Nine different models and their variations or further developments are presented in this review. For every model an overview of its applications published in scientific journals and the available software implementations is provided. The unified view provides guidance to model selection. Furthermore, the model comparison presented herein enables to identify areas where further research is needed.

摘要

这篇综述以系统和统一的方式描述和比较了用于供水管的统计失效模型。这种比较的结构为科学家和从业者提供了所需的信息,以便为他们的特定需求选择合适的失效模型。这些模型以一个新颖的框架呈现,包括:1)澄清模型假设。最初以不同数学形式制定的模型都被表示为失效率。这使得可以跨模型看到差异和相似之处。此外,我们提出了一个新的概念性失效率,理想模型将代表该失效率,并且每个模型的失效率都可以与之进行比较。2)指定无偏模型校准所需的详细数据假设,涵盖数据的结构和完整性。3)呈现每个模型可用的不同类型的概率预测。本文综述介绍了九种不同的模型及其变体或进一步发展。对于每个模型,都提供了其在科学期刊上发表的应用概述以及可用的软件实现。统一的视图为模型选择提供了指导。此外,本文呈现的模型比较可以确定需要进一步研究的领域。

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