Adopting Machine Learning Techniques for Predictive Maintenance in the Industrial Internet of Things (IoT)

Abstract

Upkeep performed before issues manifest is Through the use of a wide range of specialized strategies, machine
learning approaches make it possible for systems or machines to predict and decrease a wide variety of machine
failures. The term "predictive maintenance" (PdM) refers to a tool that is rapidly becoming an indispensable
instrument for the purpose of improving the efficiency and dependability of industrial machinery while
simultaneously enhancing the management of maintenance activities. Using predictive maintenance, which use
machine learning algorithms to proactively identify and rectify potential equipment flaws, businesses have the
potential to minimize unanticipated downtime, maintenance costs, and operational efficiency.