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Digital Predictive Maintenance Monitoring Systems in the Process Industry: State of the Art and Research Directions

10.15660/AUOFMTE.2025-2.3711

Lucian NEGRUȚ, Constantin BUNGĂU

negrut.lucianiosif@student.uoradea.ro

This paper presents an extended review of digital predictive maintenance monitoring systems in the process industry, focusing on system architectures, multisensor monitoring, condition indicators, data processing approaches, and current research directions. The presented analysis supports the implementation of a digital predictive maintenance monitoring system within doctoral research.

predictive maintenance; condition monitoring; process industry; SCADA; DCS; digital monitoring systems

ISSN 1583-0691, CNCSIS "Clasa B+"