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Twin-Control

Overview of attention for book
Cover of 'Twin-Control'

Table of Contents

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    Book Overview
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    Chapter 1 Machine Tool: From the Digital Twin to the Cyber-Physical Systems
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    Chapter 2 Twin-Control Approach
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    Chapter 3 Virtualization of Machine Tools
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    Chapter 4 Modelling of Machining Processes
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    Chapter 5 Towards Energy-Efficient Machine Tools Through the Development of the Twin-Control Energy Efficiency Module
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    Chapter 6 New Approach for Bearing Life Cycle Estimation and Control
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    Chapter 7 Data Monitoring and Management for Machine Tools
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    Chapter 8 Behaviours Indicators of Machine Tools
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    Chapter 9 Non-intrusive Load Monitoring on Component Level of a Machine Tool Using a Kalman Filter-Based Disaggregation Approach
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    Chapter 10 Utilizing PLC Data for Workpiece Flaw Detection in Machine Tools
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    Chapter 11 Simulation of Machining Operations Based on the VMT Concept
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    Chapter 12 Cyber-Physical System to Improve Machining Process Performance
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    Chapter 13 Fleet-Wide Proactive Maintenance of Machine Tools
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    Chapter 14 Visualization of Simulated and Measured Process Data
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    Chapter 15 Twin-Control Evaluation in Industrial Environment: Aerospace Use Case
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    Chapter 16 Twin-Control Evaluation in Industrial Environment: Automotive Case
Attention for Chapter 16: Twin-Control Evaluation in Industrial Environment: Automotive Case
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Citations

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Chapter title
Twin-Control Evaluation in Industrial Environment: Automotive Case
Chapter number 16
Book title
Twin-Control
Published by
Springer, Cham, January 2019
DOI 10.1007/978-3-030-02203-7_16
Book ISBNs
978-3-03-002202-0, 978-3-03-002203-7
Authors

Mikel Armendia, Mani Ghassempouri, Jaouher Selmi, Luke Berglind, Johannes Sossenheimer, Dominik Flum, Flavien Peysson, Tobias Fuertjes, Denys Plakhotnik

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 3 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 3 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 3 100%
Readers by discipline Count As %
Engineering 3 100%

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