東華大學圖書館 |

語系: 繁體中文

說明(常見問題)

回圖書館首頁

手機版館藏查詢

登入

回首頁

切換: 標籤 | MARC模式 | ISBD

Smart machining systems = modelling,...

Zhu, Kunpeng.

FindBook

Google Book

Amazon

博客來

Smart machining systems = modelling, monitoring and informatics /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Smart machining systems/ by Kunpeng Zhu.
其他題名:	modelling, monitoring and informatics /
作者:	Zhu, Kunpeng.
出版者:	Cham :Springer International Publishing : : 2022.,
面頁冊數:	xviii, 407 p. :ill. (some col.), digital ;24 cm.
內容註:	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.
Contained By:	Springer Nature eBook
標題:	Machining. -
電子資源:	https://doi.org/10.1007/978-3-030-87878-8
ISBN:	9783030878788

Smart machining systems = modelling, monitoring and informatics /
Zhu, Kunpeng.

Smart machining systemsmodelling, monitoring and informatics /[electronic resource] :by Kunpeng Zhu. - Cham :Springer International Publishing :2022. - xviii, 407 p. :ill. (some col.), digital ;24 cm. - Springer series in advanced manufacturing,2196-1735. - Springer series in advanced manufacturing..

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.

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.

ISBN: 9783030878788

Standard No.: 10.1007/978-3-030-87878-8doiSubjects--Topical Terms:

879783
Machining.

LC Class. No.: TJ1185 / .Z58 2022

Dewey Class. No.: 671.35

Smart machining systems = modelling, monitoring and informatics /
LDR:02810nmm a2200337 a 4500 001 2296076
003 DE-He213
005 20211123120412.0
006 m d
007 cr nn 008maaau
008 230324s2022 sz s 0 eng d
020 $a 9783030878788 $q (electronic bk.)
020 $a 9783030878771 $q (paper)
024 7 $a 10.1007/978-3-030-87878-8 $2 doi
035 $a 978-3-030-87878-8
040 $a GP $c GP
041 0 $a eng
050 4 $a TJ1185 $b .Z58 2022
072 7 $a TGP $2 bicssc
072 7 $a TEC020000 $2 bisacsh
072 7 $a TGP $2 thema
082 0 4 $a 671.35 $2 23
090 $a TJ1185 $b .Z63 2022
100 1 $a Zhu, Kunpeng. $3 3590408
245 1 0 $a Smart machining systems $h [electronic resource] : $b modelling, monitoring and informatics / $c by Kunpeng Zhu.
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2022.
300 $a xviii, 407 p. : $b ill. (some col.), digital ; $c 24 cm.
490 1 $a Springer series in advanced manufacturing, $x 2196-1735
505 0 $a 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.
520 $a 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.
650 0 $a Machining. $3 879783
650 0 $a Machinery $x Monitoring. $3 828528
650 0 $a Machine learning. $3 533906
650 1 4 $a Manufacturing, Machines, Tools, Processes. $3 3381528
650 2 4 $a Cyber-physical systems, IoT. $3 3386699
650 2 4 $a Image Processing and Computer Vision. $3 891070
650 2 4 $a Control, Robotics, Mechatronics. $3 1002220
710 2 $a SpringerLink (Online service) $3 836513
773 0 $t Springer Nature eBook
830 0 $a Springer series in advanced manufacturing. $3 1566004
856 4 0 $u https://doi.org/10.1007/978-3-030-87878-8
950 $a Engineering (SpringerNature-11647)