Machine learning for predictive maintenance in Industry 4.0: current trends and challenges

In the era of Industry 4.0, predictive maintenance stands as a critical pillar for efficient and cost-effective operations. This paper conducts a systematic literature review, synthesizing the current state of applying machine learning techniques to predictive maintenance. The study underscores the significance of predictive maintenance in Industry 4.0 and elucidates its potential to revolutionize maintenance practices. It delves into the challenges associated with data quality, model interpretability, and scalability, offering insights through real-world use cases. Additionally, the paper explores the integration of machine learning into Industry 4.0 and its role in sustainable smart manufacturing.