Digital Twin Driven Service

Fei Tao · Qinglin Qi · A.Y.C. Nee

mars 2022 · Academic Press

E-bok

326

Sider

Kvalifisert

Vurderinger og anmeldelser blir ikke kontrollert Finn ut mer

Om denne e-boken

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

Om forfatteren

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.

Vurder denne e-boken

Fortell oss hva du mener.

Hvordan lese innhold

Smarttelefoner og nettbrett

Installer Google Play Bøker-appen for Android og iPad/iPhone. Den synkroniseres automatisk med kontoen din og lar deg lese både med og uten nett – uansett hvor du er.

Datamaskiner

Du kan lytte til lydbøker du har kjøpt på Google Play, i nettleseren på datamaskinen din.

Lesebrett og andre enheter

For å lese på lesebrett som Kobo eReader må du laste ned en fil og overføre den til enheten din. Følg den detaljerte veiledningen i brukerstøtten for å overføre filene til støttede lesebrett.

Rapporter ulovlig innhold