Digital Twins

★★★★★ 4.1 95 reviews

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Management number 232001150 Release Date 2026/06/18 List Price US$90.00 Model Number 232001150
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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.Disclaimer: Earnest request from the Author.Kindly go through the table of contents and refer kindle edition for a glance on the related contents.Thank you for your kind consideration! Read more

ASIN B0D7SWSV6H
XRay Not Enabled
Edition 1st
Language English
File size 2.4 MB
Page Flip Enabled
Word Wise Not Enabled
Reading age 14 - 18 years
Print length 229 pages
Accessibility Learn more
Screen Reader Supported
Publication date September 4, 2025
Enhanced typesetting Enabled

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