Predictive Maintenance and Smart Sensors Aiming Sustainability: A Perspective From a Bibliometric Analysis

Abstract

Predictive maintenance is an approach that relies on the actual condition of equipment to determine when maintenance should be performed, aiming to predict failures before they occur. This minimizes downtime and the costs associated with corrective maintenance through the use of smart sensors and the Internet of Things (IoT). When these technologies are integrated with the sustainability of industrial operations, they can enhance the efficiency of resource use. In this context, the objective of this work was to conduct a bibliometric analysis on the topics of sensors, predictive maintenance, sustainability, or sustainable practices. The results indicated that publications on the studied topics only began in 2019, predominantly authored by countries such as India and China. The American continent did not present publications on the topics in question. The main study themes are related to predictive maintenance and IoT within areas such as agriculture and renewable energy. The findings of this work suggest that there is an opportunity for new publications on the researched topics.