Digital Twin – Fundamental Concepts to Applications in Advanced Manufacturing [electronic resource] / by Surjya Kanta Pal, Debasish Mishra, Arpan Pal, Samik Dutta, Debashish Chakravarty, Srikanta Pal.

By:

Pal, Surjya Kanta [author.]

Contributor(s):

Material type: Text

TextLanguage: İngilizce Series: Springer Series in Advanced ManufacturingPublisher: Cham : Springer International Publishing : Imprint: Springer, 2022Edition: 1st ed. 2022Description: 1 online resourceContent type:

text

Media type:

computer

Carrier type:

online resource

ISBN:

9783030818159

Subject(s):

LOC classification:

T59.6

Online resources:

Springer eBooks Online access link to the resource

Contents:

Introduction -- Sensor Electronics -- Signal Acquisition and Processing -- Image Processing -- Data Communication: Cloud and Fog Computing -- Machine Learning and Decision Making -- Artificial Intelligence in Decision Making -- Digital Twin Application -- Conclusions.

Summary: This book provides readers with a guide to the use of Digital Twin in manufacturing. It presents a collection of fundamental ideas about sensor electronics and data acquisition, signal and image processing techniques, seamless data communications, artificial intelligence and machine learning for decision making, and explains their necessity for the practical application of Digital Twin in Industry. Providing case studies relevant to the manufacturing processes, systems, and sub-systems, this book is beneficial for both academics and industry professionals within the field of Industry 4.0 and digital manufacturing.

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Holdings
Item type	Current library	Home library	Collection	Call number	Copy number	Status	Notes	Date due	Barcode
E-Book	Merkez Kütüphane	Merkez Kütüphane	E-Kitap Koleksiyonu	T59.6EBK (Browse shelf(Opens below))	1	Geçerli değil-e-Kitap / Not applicable-e-Book	END		EBK02950

This book provides readers with a guide to the use of Digital Twin in manufacturing. It presents a collection of fundamental ideas about sensor electronics and data acquisition, signal and image processing techniques, seamless data communications, artificial intelligence and machine learning for decision making, and explains their necessity for the practical application of Digital Twin in Industry. Providing case studies relevant to the manufacturing processes, systems, and sub-systems, this book is beneficial for both academics and industry professionals within the field of Industry 4.0 and digital manufacturing.

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