Artificial Intelligence in Predictive Maintenance: An Analysis of Machine Learning Models inManufacturing

Abstract

In recent years, the application of Artificial Intelligence (AI) in predictive maintenance (PdM)
has revolutionized the manufacturing industry. By leveraging machine learning (ML) models,
manufacturers can predict equipment failures before they occur, thereby improving operational
efficiency, reducing downtime, and lowering maintenance costs. This paper analyzes the role of
AI in predictive maintenance, particularly focusing on the implementation of various machine
learning models. The discussion covers the evolution of predictive maintenance, types of
machine learning techniques used, challenges faced in implementation, and the future potential
of AI in this field. A thorough review of the literature highlights the most effective machine
learning models used in predictive maintenance, including decision trees, support vector
machines (SVM), and deep learning models. The paper concludes by emphasizing the
importance of adopting AI-driven solutions to enhance maintenance strategies in manufacturing.