 |
This study aims to provide a bibliometric analysis and systematic literature review of Predictive maintenance research in the industry 4.0 area and to understand related contemporary research technologies, challenges, and trends. A bibliometric analysis was conducted to empirically analyse the literature related to predictive maintenance in the industry 4.0 era. This study retrieved papers from the Scopus database, reviewing 723 articles from the period 2014 to 2024 (July) for bibliometric analysis. Bibliometrix, using R software, was used for the bibliometric analysis, and VOSviewer was used for network analysis. The growth of publications, research productivity and citation analysis were presented. Most of the articles were published in journals and conferences, this research benefits researchers by identifying potential research areas for predictive maintenance technologies and challenges in industry 4.0 era and providing directions for future research.
