APPLICATIONS OF ARTIFICIAL INTELLIGENCE IN FAULT DETECTION AND PREDICTION IN TECHNICAL SYSTEMS

Publish Year: 1402
نوع سند: مقاله کنفرانسی
زبان: English
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RMIECONF14_029

تاریخ نمایه سازی: 31 تیر 1402

Abstract:

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.

Authors

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