智能预测性维修综述:文献计量分析与新研究方向

V. Grubisic, J. F. Aguiar, Z. Simeu-Abazi
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引用次数: 2

摘要

工业4.0带来了许多新技术,这些技术正在彻底改变当今维护过程的形态。然而,对这些新技术的研究还为时过早。本文提供了对该领域最新和相关研究的理解和分析。作为一种方法,我们首先使用一种称为综合元分析方法(TEMAC)的文献计量学方法选择了最相关的文章,然后对13项最重要的研究进行了回顾和介绍,最后对作者未发现的文献中可能存在的空白进行了研究,这些空白使我们能够识别关键因素并预测智能预测性维护的未来。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Review on Intelligent Predictive Maintenance: Bibliometric analysis and new research directions
Industry 4.0 has brought a number of new technologies that are completely changing the shape of today’s maintenance processes. However, studies about these new technologies are still premature. This article provides an understanding and analysis of the most current and relevant studies on the area. As a method, we first selected the most relevant articles using a bibliometric methodology called the Theory of the Consolidated Meta-analytic Approach (TEMAC) method, then the 13 most significant studies were reviewed and presented and finally a study of possible gaps in the literature left uncovered by authors that allowed us to identify key elements and to forecast the future of Intelligent Predictive Maintenance.
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