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020			_a9783030878788
024	7		_a10.1007/978-3-030-87878-8 _2doi
040			_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC
050		4	_aTJ1185 _b2022 EB
100	1		_aZhu, Kunpeng _eautor _0(orcid)0000-0003-0702-0162 _1https://orcid.org/0000-0003-0702-0162 _4aut _4http://id.loc.gov/vocabulary/relators/aut _9686024
245	1	0	_aSmart Machining Systems _bModelling, Monitoring and Informatics _cby Kunpeng Zhu
250			_a1st edition 2022
264		1	_aCham _bSpringer International Publishing _c2022
300			_a1 recurso en línea (XVIII, 407 páginas) _b207 ilustraciones, 128 ilustraciones a color
336			_atexto _btxt _2rdacontent
337			_aelectrónico _bc _2rdamedia
338			_arecurso electrónico _bcr _2rdacarrier
347			_aarchivo de texto _bPDF
490	0		_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.
988			_aSpringer_Engineering_2022
650		7	_2embne _9138097 _aMáquinas _xMonitorización
650		7	_2embne _9166090 _aAprendizaje automático
776	0	8	_iPrinted edition: _z9783030878771
776	0	8	_iPrinted edition: _z9783030878795
776	0	8	_iPrinted edition: _z9783030878801
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-030-87878-8 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE
998			_b01/2023 _dz _eIG _zSI