Asset management applied in electric motors: a systematic literature review

Abstract

The paper aims to investigate in the dynamics between the digital transformation and innovation within Industry 4.0 in the context the evolution of asset management practices for electric motors. The paper was carried out to find the advantages and best practices in electric motor asset management using the reputable databases that provide an analysis of the bibliometric data. In addition, the method searches new trends, challenges and future directions. It is used a main research question, search terms, the research questions, inclusion and exclusion criteria. In this way, the reproducibility of this work by other researchers is guaranteed. To our knowledge, it is the first time that these issues have been addressed together. The results show that the innovations as Industrial Internet of Things, Machine Learning, Digital Twins, and Virtual Reality lead to improved reliability, reduced downtime, cost-effective maintenance strategies, and accurate maintenance decisions. Finally, this paper seeks to contribute to the ongoing dialogue among researchers, engineers, and industry professionals.