机器学习与生存分析组合在水管故障预测中的对比分析

IF 2 3区工程技术 Q2 ENGINEERING, CIVIL

Journal of Infrastructure Systems Pub Date : 2023-12-01 DOI:10.1061/jitse4.iseng-2176

Eric Vaags, B. Lence, Sudhir Kshirsagar

引用次数: 0

摘要

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Comparative Analysis of Machine Learning and Survival Analysis Combinations for Water Main Failure Prediction

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来源期刊

Journal of Infrastructure Systems ENGINEERING, CIVIL-

CiteScore

6.10

自引率

6.10%

发文量

审稿时长

6 months

期刊介绍： The Journal of Infrastructure Systems publishes cross-disciplinary papers about managing, sustaining, enhancing, and transforming civil infrastructure systems. Papers are expected to contribute new knowledge through development, application, or implementation of innovative methodologies or technologies. Civil infrastructure systems enable thriving societies and healthy ecosystems. Civil infrastructure systems support transportation; energy production and distribution; water resources management; waste management; civic facilities in urban and rural communities; communications; sustainable resources development; and environmental protection. These physical, social, ecological, economic, and technological systems are complex and interrelated. Increasingly, inter- and multidisciplinary expertise is needed not only to design and build these systems, but to manage, sustain, enhance, and transform them as well. Typical management problems are fraught with uncertain information, multiple and conflicting objectives, and sometimes numerous and conflicting constituencies. Solutions are both complex and cross-disciplinary in nature and require the thoughtful integration of sound engineering judgment, economic flexibility, social equity, and institutional forbearance. Papers considered for publication must contain a well-defined engineering component and articulate a clear contribution to the art and science related to infrastructure systems. Potential authors should consult the ASCE Author Guide for acceptable paper formats and article types.