Application of Predictive Maintenance in CNC Machining Centers within an Industry 4.0 Environment
Keywords:
Industry 4.0, predictive maintenance, CNC machining centers, condition monitoring, industrial data acquisitionAbstract
The digital transformation of manufacturing systems and the emergence of Industry 4.0 technologies have significantly changed maintenance strategies in industrial production. Traditional reactive and time-based maintenance approaches are increasingly replaced by data-driven condition monitoring systems that enable continuous monitoring of equipment status and the prediction of potential failures. Predictive maintenance uses sensor data, industrial communication technologies and advanced data analysis methods to support maintenance decision-making and reduce the risk of unexpected machine downtime. This paper presents the operating principles of predictive maintenance systems and their potential application in CNC machining centers. The study discusses the main condition monitoring methods, including vibration analysis, temperature monitoring and electrical current analysis, and reviews the role of industrial data acquisition and communication technologies in Industry 4.0 manufacturing environments. The results highlight that predictive maintenance solutions can significantly improve production reliability, increase machine availability and optimize maintenance costs.
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Copyright (c) 2026 István György Burai
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