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020 _a9783030878788
024 7 _a10.1007/978-3-030-87878-8
_2doi
040 _aTR-AnTOB
_beng
_cTR-AnTOB
_erda
041 _aeng
050 4 _aTJ1185
072 7 _aTGP
_2bicssc
072 7 _aTEC020000
_2bisacsh
072 7 _aTGP
_2thema
090 _aTJ1185EBK
100 1 _aZhu, Kunpeng.
_eauthor.
_0(orcid)0000-0003-0702-0162
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
245 1 0 _aSmart Machining Systems
_h[electronic resource] :
_bModelling, Monitoring and Informatics /
_cby Kunpeng Zhu.
250 _a1st ed. 2022.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2022.
300 _a1 online resource
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aSpringer Series in Advanced Manufacturing,
_x2196-1735
505 0 _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.
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.
650 0 _aManufactures.
650 0 _aCooperating objects (Computer systems).
650 0 _aComputer vision.
650 0 _aControl engineering.
650 0 _aRobotics.
650 0 _aAutomation.
650 1 4 _aMachines, Tools, Processes.
650 2 4 _aCyber-Physical Systems.
650 2 4 _aComputer Vision.
650 2 4 _aControl, Robotics, Automation.
653 0 _aMachining
653 0 _aMonitoring
653 0 _aMachine learning
710 2 _aSpringerLink (Online service)
830 0 _aSpringer Series in Advanced Manufacturing,
_x2196-1735
856 4 0 _uhttps://doi.org/10.1007/978-3-030-87878-8
_3Springer eBooks
_zOnline access link to the resource
942 _2lcc
_cEBK