AI in Predictive Maintenance for Industry 4.0 - an overview.

Abstract

The advent of Industry 4.0 has ushered in a new era of smart manufacturing. Artificial Intelligence (AI), and more specifically, machine learning, standsat the forefront of this transformation, offering unprecedented opportunities forpredictive maintenance. This article delves into the crucial role of AI, particularly machine learning algorithms, in the context of Industry 4.0, emphasizingtheir significance in predictive maintenance applications. The article explores howmachine learning models used in predictive maintenance can be divided according to their role. Predictive maintenance not only reduces downtime, but alsoimproves overall operational efficiency. The integration of artificial intelligenceand machine learning technologies promotes the shift from reactive to proactivemaintenance strategies, thus improving resource use and extending the life of industrial assets. However, despite promising progress, the application of machinelearning in predictive maintenance is not without challenges. The article discusseskey obstacles such as data quality and accessibility, problems in choosing machinelearning models, and the need to adapt to dynamic industrial environments. Itdiscusses the importance of creating a robust data infrastructure and developingtransparent models to build trust in AI-based predictive maintenance systems.