Engineering and Applied Sciences Journal

The Use of Machine Learning in Intelligent Predictive Maintenance for Cyber-Physical Systems

Abstract

Raymond Betuel Kamgba

Cyber-physical systems (CPS) are thought to be among industry 4.0's primary enablers. CPS technology bridges the gap between the physical and cyber worlds by integrating knowledge from several fields. An important use of Industry 4.0 is predictive maintenance (PdM), which can use a CPS-based strategy in intelligent operations to reduce machine downtime and related expenses. This paper discusses the application of machine learning to intelligent maintenance of Cyber Physical systems. As CPS become more complex and widespread across industries, maintaining their reliability and performance is critical. This paper further describes how machine learning algorithm can be used to predict system failure, develop repair plans and further highlights the potential significant improvements in CPS maintenance strategies.

PDF