Digital Twin Driven Service

Häftad, Engelska, 2022

AvFei Tao,Qinglin Qi,A.Y.C. Nee,China) Tao, Fei (Professor, School of Automation Science and Electrical Engineering, Beihang University,China) Qi, Qinglin (Postdoctor, School of Automation Science and Electrical Engineering, Beihang University, China, and Department of Industrial Systems Engineering, The Hong Kong Polytechnic University,Singapore) Nee, A.Y.C. (Professor of Manufacturing Engineering, National University of SIngapore

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Digital Twin Driven Smart Service draws on the latest industry practice and research to explain how to implement digital twin service in a range of scenarios. It addresses relevant theory and methodologies, including product service, prognostic health management service, energy efficient service and testing service. Other sections discuss� key enabling technologies supported by cutting-edge case studies of implementation. Drawing on the work of researchers at the forefront of this technology, this book is the ideal guide for anyone interested in product services, manufacturing services and digital twin services.

This book is one part of a trilogy on digital twins, the other titles being Digital Twin Driven Smart Design and Digital Twin Driven Smart Manufacturing.

Provides a wide range of applications, including tribological testing, cutting tool service and energy efficiency assessment
Explains everything needed to understand and implement digital twin models for service, including frameworks, theories and technologies
Explores future challenges for research in this area, including the ongoing standardization of digital twin technology

Produktinformation

Utgivningsdatum2022-03-17
Mått152 x 229 x undefined mm
Vikt520 g
FormatHäftad
SpråkEngelska
Antal sidor326
FörlagElsevier Science
ISBN9780323913003

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Fei Tao is a Professor at the School of Automation Science and Electrical Engineering, Beihang University, Beijing, China. His research interests are service-oriented smart manufacturing, manufacturing service management and optimization, digital twin driven product design/manufacturing/service, green and sustainable manufacturing. Qinglin Qi is a Hong Kong scholar supported by both the School of Automation Science and Electrical Engineering, Beihang University, and Department of Industrial Systems Engineering, The Hong Kong Polytechnic University. His research interests are service-oriented smart manufacturing, digital twin driven manufacturing and service. A.Y.C. Nee is Professor Emeritus in Manufacturing Engineering at the National University of Singapore. His research interests include the use of AI, virtual and augmented reality applications in manufacturing, sustainable product design and life cycle engineering, and computer aided manufacturing design. He is Fellow of CIRP, Fellow of SME and Fellow of the Academy of Engineering Singapore.

1. From Service to Digital Twin Service2. Digital Twin Driven Service Collaboration3. Digital Twin-driven Production Line Custom Design Service4. Digital twin-enhanced product family design and optimization service5. Digital Twin Driven Fault Diagnosis Service of Rotating Machinery6. Digital Twin Driven Energy-Efficient Assessment Service7. Digital Twin Driven Cutting Tool Service8. Digital Twin Driven Prognostics and Health Management9. Production Process Management for Intelligent Coal Mining Based on Digital Twin10. Digital Twin Enhanced Tribo-test Service

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