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008			230304s2022 sz | s |||| 0|eng d
020			_a9783030795191
024	7		_a10.1007/978-3-030-79519-1 _2doi
040			_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC
050		4	_aTK2313 _b2022 EB
245	0	0	_aSmart Monitoring of Rotating Machinery for Industry 4.0 _cedited by Fakher Chaari, Xavier Chiementin, Radoslaw Zimroz, Fabrice Bolaers, Mohamed Haddar
250			_a1st edition 2022
264		1	_aCham _bSpringer International Publishing _c2022
300			_a1 recurso en línea (VI, 178 páginas) _b107 ilustraciones, 100 ilustraciones a color
336			_atexto _btxt _2rdacontent
337			_aelectrónico _bc _2rdamedia
338			_arecurso electrónico _bcr _2rdacarrier
347			_aarchivo de texto _bPDF
490	0		_aApplied Condition Monitoring _x2363-6998 _v19
505	0		_aVulnerabilities and fruits of smart monitoring -- A tutorial on Canonical Variate Analysis for diagnosis and prognosis -- A structured approach to machine learning for condition monitoring -- A structured approach to machine learning for condition monitoring: a case study -- Dynamic Reliability Assessment of Structures and Machines Using the Probability Density Evolution Method -- Rotating machinery condition monitoring methods for applications with different kinds of available prior knowledge -- Model Based Fault Diagnosis in Bevel Gearbox -- Investigating the electro-mechanical interaction between helicoidal gears andan asynchronous geared motor -- Algebraic estimator of damping failure for au-tomotive Shock Absorber -- On the use of jerk for condition monitoring of gearboxes in non-stationary operations -- Dynamic remaining useful life estimation for a shaft bearings system. .
520			_aThis book offers an overview of current methods for the intelligent monitoring of rotating machines. It describes the foundations of smart monitoring, guiding readers to develop appropriate machine learning and statistical models for answering important challenges, such as the management and analysis of a large volume of data. It also discusses real-world case studies, highlighting some practical issues and proposing solutions to them. The book offers extensive information on research trends, and innovative strategies to solve emerging, practical issues. It addresses both academics and professionals dealing with condition monitoring, and mechanical and production engineering issues, in the era of industry 4.0.
988			_aSpringer_Engineering_2022
650		7	_2embne _9138108 _aMáquinas eléctricas
650		7	_2embne _9670502 _aDesarrollo industrial
776	0	8	_iPrinted edition: _z9783030795184
776	0	8	_iPrinted edition: _z9783030795207
776	0	8	_iPrinted edition: _z9783030795214
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-030-79519-1 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE
998			_b03/2023 _dz _eIG _zSI