Data driven smart manufacturing technologies and applications / Weidong Li, Yuchen Liang, Shen Wang, editors.
Li, W. D., editor.; Liang, Yuchen, editor.; Wang, Sheng, editor.
2021
TS183
Available Online

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Details

Title
Data driven smart manufacturing technologies and applications / Weidong Li, Yuchen Liang, Shen Wang, editors.
ISBN
9783030668495 (electronic book)
3030668495 (electronic book)
3030668487
9783030668488
DOI
https://doi.org/10.1007/978-3-030-66849-5
Published
Cham, Switzerland : Springer, [2021]
Language
English
Description
1 online resource
Item Number
10.1007/978-3-030-66849-5 doi
Call Number
TS183
Dewey Decimal Classification
670
Summary
This book reports innovative deep learning and big data analytics technologies for smart manufacturing applications. In this book, theoretical foundations, as well as the state-of-the-art and practical implementations for the relevant technologies, are covered. This book details the relevant applied research conducted by the authors in some important manufacturing applications, including intelligent prognosis on manufacturing processes, sustainable manufacturing and human-robot cooperation. Industrial case studies included in this book illustrate the design details of the algorithms and methodologies for the applications, in a bid to provide useful references to readers. Smart manufacturing aims to take advantage of advanced information and artificial intelligent technologies to enable flexibility in physical manufacturing processes to address increasingly dynamic markets. In recent years, the development of innovative deep learning and big data analytics algorithms is dramatic. Meanwhile, the algorithms and technologies have been widely applied to facilitate various manufacturing applications. It is essential to make a timely update on this subject considering its importance and rapid progress. This book offers a valuable resource for researchers in the smart manufacturing communities, as well as practicing engineers and decision makers in industry and all those interested in smart manufacturing and Industry 4.0.
Bibliography, etc. Note
Includes bibliographical references and index.
Access Note
Access limited to authorized users.
Digital File Characteristics
text file
PDF
Source of Description
Online resource; title from PDF title page (SpringerLink, viewed March 30, 2021).
Added Author
Li, W. D., editor.
Liang, Yuchen, editor.
Wang, Sheng, editor.
Series
Springer series in advanced manufacturing.
Available in Other Form
Print version: 9783030668488
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Part I: Introduction and Fundamental
Introduction
Big Data Analytics and Deep Learning Algorithms
Part II: Survey
Intelligent Manufacturing Prognosis: A Survey
Sustainable Manufacturing Enabled by Artificial Intelligence: A Survey
Human-Robot Collaboration and Artificial Intelligence: A Survey
Part III: Applications and Case Studies
Fog Computing and Convolutional Neural Network Enabled Machining Prognosis and Optimisation
Big Data Enabled Intelligent Immune System for Energy Efficient Manufacturing Management
Tool Wear Prognosis Using Deep Learning Algorithms
Big Data Analytics Supported Close-loop Machining Control and Optimisation
Intelligent Learning from Demonstrators for Human-Robot Collaboration
Human-Robot Collaboration and Intelligent Welding Applications
Deep Learning Driven Intelligent Welding Robotics.

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