Digital Twin Technology for Predictive Maintenance in Industries

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This research explores digital twin technology, emphasizing its role in predictive maintenance. It covers its definition, industrial applications, integration processes, and advantages. The study delves into theoretical frameworks, including underlying principles, mathematical models, and physics-based simulations. Current research trends, advancements in data modeling, and case studies are analyzed, providing insights into challenges like technical implementation, data security, and cost-...