A Survey on Predictive Maintenance for Industry 4.0
This is an incremental survey for researchers and practitioners in Industry 4.0, summarizing existing knowledge without introducing novel methods.
The paper addresses the financial impact of production issues in Industry 4.0 by conducting a survey on predictive maintenance, classifying and discussing recent developments without presenting new experimental results.
Production issues at Volkswagen in 2016 lead to dramatic losses in sales of up to 400 million Euros per week. This example shows the huge financial impact of a working production facility for companies. Especially in the data-driven domains of Industry 4.0 and Industrial IoT with intelligent, connected machines, a conventional, static maintenance schedule seems to be old-fashioned. In this paper, we present a survey on the current state of the art in predictive maintenance for Industry 4.0. Based on a structured literate survey, we present a classification of predictive maintenance in the context of Industry 4.0 and discuss recent developments in this area.