001442835 000__ 03824cam\a2200601\i\4500
001442835 001__ 1442835
001442835 003__ OCoLC
001442835 005__ 20230310003438.0
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001442835 008__ 211130s2022\\\\sz\a\\\\ob\\\\000\0\eng\d
001442835 019__ $$a1286707203$$a1286795959$$a1294365332$$a1296666935
001442835 020__ $$a9783030878788$$q(electronic bk.)
001442835 020__ $$a3030878783$$q(electronic bk.)
001442835 020__ $$z9783030878771
001442835 020__ $$z3030878775
001442835 0247_ $$a10.1007/978-3-030-87878-8$$2doi
001442835 035__ $$aSP(OCoLC)1286662606
001442835 040__ $$aYDX$$beng$$erda$$epn$$cYDX$$dGW5XE$$dN$T$$dOCLCF$$dOCLCO$$dDCT$$dDKU$$dOCLCO$$dOCLCQ
001442835 049__ $$aISEA
001442835 050_4 $$aTJ1185$$b.Z58 2022
001442835 08204 $$a671.3/5$$223
001442835 1001_ $$aZhu, Kunpeng,$$eauthor.
001442835 24510 $$aSmart machining systems :$$bmodelling, monitoring and informatics /$$cKunpeng Zhu.
001442835 264_1 $$aCham :$$bSpringer,$$c[2022]
001442835 264_4 $$c©2022
001442835 300__ $$a1 online resource :$$billustrations (some color)
001442835 336__ $$atext$$btxt$$2rdacontent
001442835 337__ $$acomputer$$bc$$2rdamedia
001442835 338__ $$aonline resource$$bcr$$2rdacarrier
001442835 347__ $$atext file
001442835 347__ $$bPDF
001442835 4901_ $$aSpringer series in advanced manufacturing,$$x2196-1735
001442835 504__ $$aIncludes bibliographical references.
001442835 5050_ $$aPart I: Fundamentals -- Chapter 1. Introduction -- Chapter 2. Modeling of Machining Process -- Chapter 3. Tool Wear Modelling -- Chapter 4. Mathematical Fundamentals of Condition Monitoring -- Chapter 5. Signal Processing for Condition Monitoring -- Chapter 6. The Framework of TCM from Machine Learning View -- Part II: Applications -- Chapter 7. Sensory Signal De-noising and Pre-processing -- Chapter 8. TCM with Sparse Decomposition -- Chapter 9. The Monitoring of Tool Conditions with Computer Vision -- Chapter 10. Diagnosis and Prognosis of Machining Degradation Process -- Chapter 11. Sensor Fusion Approached to TCM -- Chapter 12. Big Data Orientated CNC Machining TXM Monitoring System -- Chapter 13. CPPS Framework of Smart CNC Machining Monitoring System.
001442835 506__ $$aAccess limited to authorized users.
001442835 520__ $$aThis book provides the tools to enhance the precision, automation and intelligence of modern CNC machining systems. Based on a detailed description of the technical foundations of the machining monitoring system, it develops the general idea of design and implementation of smart machining monitoring systems, focusing on the tool condition monitoring system. The book is structured in two parts. Part I discusses the fundamentals of machining systems, including modeling of machining processes, mathematical basics of condition monitoring and the framework of TCM from a machine learning perspective. Part II is then focused on the applications of these theories. It explains sensory signal processing and feature extraction, as well as the cyber-physical system of the smart machining system. Its utilisation of numerous illustrations and diagrams explain the ideas presented in a clear way, making this book a valuable reference for researchers, graduate students and engineers alike.
001442835 588__ $$aOnline resource; title from PDF title page (SpringerLink, viewed December 3, 2021).
001442835 650_0 $$aMachining.
001442835 650_0 $$aMachinery$$xMonitoring.
001442835 650_0 $$aMachine learning.
001442835 650_6 $$aUsinage.
001442835 650_6 $$aMachines$$xSurveillance.
001442835 650_6 $$aApprentissage automatique.
001442835 655_0 $$aElectronic books.
001442835 77608 $$iPrint version:$$z3030878775$$z9783030878771$$w(OCoLC)1265456245
001442835 830_0 $$aSpringer series in advanced manufacturing.$$x2196-1735
001442835 852__ $$bebk
001442835 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-030-87878-8$$zOnline Access$$91397441.1
001442835 909CO $$ooai:library.usi.edu:1442835$$pGLOBAL_SET
001442835 980__ $$aBIB
001442835 980__ $$aEBOOK
001442835 982__ $$aEbook
001442835 983__ $$aOnline
001442835 994__ $$a92$$bISE