Behzad Ghasemi Parvin - Ataturk University, Faculty of Engineering, Department of Mechanical Engineering, Erzurum, ۲۵۲۴۰, Turkey
Leila Ghasemi Parvin - Ankara Hacı Bayram Veli University, Faculty of Tourism, Department of Gastronomy and Culinary Arts,Ankara, ۰۶۹۰۰,Turkey

Fault detection and prediction in technical systems is a critical task for ensuring reliable and efficient operation. Traditional methods for fault detection and prediction often rely on manual analysis of system data, which can be time-consuming and prone to errors. Artificial Intelligence (AI) techniques, particularly machine learning and data analytics, have emerged as powerful tools for automating fault detection and prediction processes. This paper provides an overview of the applications of AI in fault detection and prediction in technical systems.

Fault detection, Fault prediction, Artificial Intelligence (AI), Machine learning