Smart machining systems : modelling, monitoring and informatics / Kunpeng Zhu.
Zhu, Kunpeng, author.
2022
TJ1185 .Z58 2022
Available Online

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Details

Title
Smart machining systems : modelling, monitoring and informatics / Kunpeng Zhu.
Author
Zhu, Kunpeng, author.
ISBN
9783030878788 (electronic bk.)
3030878783 (electronic bk.)
9783030878771
3030878775
DOI
https://doi.org/10.1007/978-3-030-87878-8
Published
Cham : Springer, [2022]
Copyright
©2022
Language
English
Description
1 online resource : illustrations (some color)
Item Number
10.1007/978-3-030-87878-8 doi
Call Number
TJ1185 .Z58 2022
Dewey Decimal Classification
671.3/5
Summary
This book provides the tools to enhance the precision, automation and intelligence of modern CNC machining systems. Based on a detailed description of the technical foundations of the machining monitoring system, it develops the general idea of design and implementation of smart machining monitoring systems, focusing on the tool condition monitoring system. The book is structured in two parts. Part I discusses the fundamentals of machining systems, including modeling of machining processes, mathematical basics of condition monitoring and the framework of TCM from a machine learning perspective. Part II is then focused on the applications of these theories. It explains sensory signal processing and feature extraction, as well as the cyber-physical system of the smart machining system. Its utilisation of numerous illustrations and diagrams explain the ideas presented in a clear way, making this book a valuable reference for researchers, graduate students and engineers alike.
Bibliography, etc. Note
Includes bibliographical references.
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 December 3, 2021).
Series
Springer series in advanced manufacturing. 2196-1735
Available in Other Form
Print version: 9783030878771
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Online Access
Record Appears in
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Part I: Fundamentals
Chapter 1. Introduction
Chapter 2. Modeling of Machining Process
Chapter 3. Tool Wear Modelling
Chapter 4. Mathematical Fundamentals of Condition Monitoring
Chapter 5. Signal Processing for Condition Monitoring
Chapter 6. The Framework of TCM from Machine Learning View
Part II: Applications
Chapter 7. Sensory Signal De-noising and Pre-processing
Chapter 8. TCM with Sparse Decomposition
Chapter 9. The Monitoring of Tool Conditions with Computer Vision
Chapter 10. Diagnosis and Prognosis of Machining Degradation Process
Chapter 11. Sensor Fusion Approached to TCM
Chapter 12. Big Data Orientated CNC Machining TXM Monitoring System
Chapter 13. CPPS Framework of Smart CNC Machining Monitoring System.

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