Digital Predictive Maintenance: Case Study

Abstract

This paper deals with the issue of digital predictive maintenance and its application to selected equipment, focusing on a case study of climate chambers. The study analyzed the current state of maintenance of these devices, performed cost calculations, and evaluated the possible risks. Based on these analyses, a procedure for the implementation of predictive maintenance was proposed, which could lead to the reduction of the identified risks and the optimization of the costs associated with the maintenance of the equipment. The paper provides a comprehensive overview of digital predictive maintenance that includes a theoretical framework, a case study, and an implementation methodology, thus contributing to a deeper understanding of the benefits and challenges associated with this area.