Abstract: Artificial Intelligence (AI) has become one of the most influential technologies supporting predictive maintenance in modern mechanical engineering. By combining machine learning algorithms, sensor networks, and Industrial Internet of Things (IIoT) technologies, AI enables continuous equipment monitoring, early fault diagnosis, and accurate estimation of Remaining Useful Life (RUL). Compared with corrective and preventive maintenance strategies, AI-driven predictive maintenance significantly reduces unexpected failures, minimizes downtime, lowers maintenance costs, and improves equipment reliability. This mini-review summarizes recent developments in AI-based predictive maintenance, highlights major engineering applications, discusses current technical challenges, and identifies future research opportunities.
Keywords: Artificial Intelligence, Predictive Maintenance, Machine Learning, Mechanical Engineering, Industry 4.0, Condition Monitoring.
Title: Artificial Intelligence Applications in Predictive Maintenance of Mechanical Systems: A Critical Mini Review
Author: Abdulaziz Aldhafeeri
International Journal of Mechanical and Industrial Technology
ISSN 2348-7593 (Online)
Vol. 14, Issue 1, April 2026 - September 2026
Page No: 38-40
Research Publish Journals
Website: www.researchpublish.com
Published Date: 03-July-2026
