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Digital Twins by Ajit Singh
English | September 4, 2025 | ISBN: N/A | ASIN: B0D7SWSV6H | 289 pages | EPUB | 1.06 Mb
The conception of this book, "Digital Twins", Virtual replicas enabling predictive maintenance, real-time monitoring, and optimized performance, is driven by a clear and pressing need. While the term "Digital Twin" is gaining ubiquitous traction in industry boardrooms and research labs, there exists a significant gap in structured, accessible, and practical learning material for the students who will build and manage these systems tomorrow-our B.Tech and M.Tech engineers. This textbook is my endeavor to bridge that gap.
Key Features of This Book:
1. Beginner to Advanced Progression: The 10 chapters are logically sequenced to cater to both beginners with no prior knowledge and advanced learners seeking to deepen their expertise.
2. Simple and Lucid Language: Complex technical concepts are explained in a clear, concise, and easy-to-understand manner, supported by diagrams, flowcharts, and analogies.
3. Hands-On Practical Approach: Includes practical labs and a detailed, step-by-step capstone project in the final chapter, complete with working code and explanations, to ensure students can apply what they learn.
4. Real-World Case Studies: Features insightful case studies from leading industries like manufacturing, healthcare, smart cities, and aerospace to showcase the real-world impact and application of Digital Twins.
5. Focus on Core Technologies: Provides a solid grounding in the enabling technologies-IoT, AI/ML, Cloud Computing, and Big Data-that are essential for building Digital Twins.
6. Globally Relevant Curriculum: The topics covered are up-to-date and in sync with the curricula of top international universities, making it a valuable resource for students worldwide.
7. Holistic Coverage: The book covers the technology's full spectrum, from its history and architecture to its applications, challenges, ethical implications, and future trends.
"Digital Twins", Virtual replicas enabling predictive maintenance, real-time monitoring, and optimized performance is a comprehensive and accessible textbook designed to introduce engineering students (B.Tech/M.Tech) to one of the most transformative technologies of our time. A Digital Twin is a dynamic, virtual copy of a physical object or system that bridges the gap between the physical and digital worlds. By leveraging real-time data, it allows us to monitor, analyze, predict, and optimize the performance of assets without ever touching the real thing.
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