Predictive Digital Twins

Predictive Digital Twins: Foundations and Applications addresses the theoretical foundations, practical applications, and emerging trends associated with predictive digital twins. With a specific focus on predictive capabilities, digital twins developed for this purpose are commonly referred to as predictive digital twins. Despite the growing recognition of their importance, the literature on predictive digital twins remains fragmented, with a lack of comprehensive resources covering the concept systematically. This gap is particularly evident in academia, where, as a university professor teaching a master's course on digital twins, I have identified a need for a dedicated reference book that provides students with a structured and in-depth exploration of predictive digital twins.

This book addresses this gap by providing students, researchers, and practitioners with a valuable resource to enhance their understanding of this emerging concept. Digital twins are a pivotal technology in the ongoing Industry 4.0 revolution, with one of their most significant advantages being their ability to provide accurate predictions.

• Provides clear explanations of the fundamental concepts, theories, and technologies underpinning predictive digital twins to support effective teaching and research.
• Includes real-world applications and case studies illustrating the practical implementation of predictive digital twins across different industries.
• Offers practical insights into the development and implementation of predictive digital twins for process optimization and predictive maintenance.
• Provides guidance on best practices for designing, developing, managing, and optimizing predictive digital twin systems.
• Bridges theoretical foundations and practical applications, making the book accessible to students, researchers, and industry practitioners.