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Reference architecture for IoT-based predictive maintenance systems using digital twins
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DOI：10.1016/j.rineng.2026.111115.png)
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Abstract
En 中文
• Proposes a platform-independent reference architecture for IoT-based PdM systems. • Defines 5 UML view types to model Digital Twin–based predictive maintenance. • Validated through 2 industrial case studies in manufacturing and energy domains. • Empirical evaluation includes a practitioner survey with 14 qualitative questions. • Demonstrates derivation of application architectures from a common reference model.
Keywords:
Systems engineering
Reference architecture
Digital twin
Predictive maintenance
Internet of Things
Survey study
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