Overview of Maintenance 4.0 and the associated approaches, and a preliminary case study in Algeria

Abstract

In literature, in different industrial fields Maintenance 4.0 standards have been studied by many researchers to improve system reliability, availability, safety and maintenance cost control. In Maintenance 4.0 and predictive maintenance, researchers target the development of accurate models to assess the health state of components for particular applications supporting decision making. Prior accurate knowledge to implement Maintenance 4.0 in complex systems is essential to build reliable systems. To motivate industry practitioners and our project adoption, this paper tries to offer a systemic review on Maintenance 4.0 using historical data. In this paper, an experiment on real data of rotary machine is done to provide predictive maintenance tool