Machine Learning-Based Predictive Maintenance for Mechanical Systems

Abstract

Predictive maintenance, driven by machine learning, represents a transformative approach to enhancing the reliability and efficiency of mechanical systems. This paper presents a comprehensive exploration of machine learning techniques applied to predictive maintenance, focusing on their ability to forecast equipment failures and optimize maintenance schedules. We begin by reviewing the foundational concepts of predictive maintenance and the key role of machine learning in analyzing historical and real-time data to identify patterns indicative of impending failures.