The Study on Predictive Maintenance in Industry 4.0 with Complexity Analysis Ideas of AI-Algorithms

Smart Industry integration with Artificial Intelligence technology is becoming more and more important as the industrial landscape moves towards the fourth industrial revolution, or Industry 4.0, for efficient and sustainable production processes.Artificial Intelligence is one of these technologies that is essential to the transformation of traditional maintenance tactics into Predictive Maintenance, which improves overall operational efficiency and sustainability.In the framework of Industry 4.0, this study investigates the use of Machine Learning (ML) / Deep Learning (DL) for predictive maintenance, with a focus on the implications for sustainable smart manufacturing.By categorizing the research according to the ML/DL algorithms, machinery and equipment used, device used in data acquisition, classification of data, size, and type, and highlighting the key contributions of the researchers, this paper aims to provide a thorough review of the recent advancements of AI techniques widely applied to Predictive Maintenance for any smart industry in Industry 4.0.It also provides guidelines and a foundation for future research.This research's additional focus is on combining the norms of Computational Complexity to improve the accuracy of AI-based predictive maintenance for the IIoT.