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.