Machine-Learning Algorithms in the Service Life Prediction of Facility Management: Approach in Southern Chile

IF 2.3 3区工程技术 Q2 CONSTRUCTION & BUILDING TECHNOLOGY

Journal of Performance of Constructed Facilities Pub Date : 2024-04-01 DOI:10.1061/jpcfev.cfeng-4572

M. Mendoza, M. Torres-González, A. J. Prieto

引用次数: 0

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机器学习算法在设施管理使用寿命预测中的应用：智利南部的方法

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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来源期刊

Journal of Performance of Constructed Facilities 工程技术-工程：土木

CiteScore

5.10

自引率

4.00%

发文量

审稿时长

6 months

期刊介绍： The Journal of Performance of Constructed Facilities attempts to improve the quality of the constructed product through interdisciplinary communication. Papers examine the causes and consequences of failures and other performance problems. The principal purpose of the Journal is to disseminate information on failures and performance deficiencies of constructed facilities. The term “failures” in this context may mean catastrophic events, but also includes any performance deficiency from which a significant lesson can be learned, such as serviceability problems. Both the technical causes and procedural causes of failures are of interest. Procedural causes include human errors in design, construction, and/or operation that allow the failures to occur. The Journal welcomes manuscripts that deal with failures, methods of investigation of failures, special techniques for failure investigations, reconstruction and repair, and issues of ethics.