000			03327nam a2200385 i 4500
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003			ES-MaUEC
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007			cr nn nnnaamaa
008			210120s2021 gw a o |||| 0|eng d
020			_a9783030627492
024	7		_a10.1007/978-3-030-62749-2 _2doi
040			_aES-MaUEC _bspa _cES-MaUEC _erda _dES-MaUEC
050		4	_aTA345 _b2021 EB
100	1		_aJablonski, Adam _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut
245	1	0	_aCondition Monitoring Algorithms in MATLAB® _cby Adam Jablonski.
250			_aFirst edition 2021
264		1	_aCham _bSpringer International Publishing _c2021
300			_a1 recurso en línea (XXV, 527 páginas) _b1026 ilustraciones, 988 ilustraciones a color
336			_2rdacontent _aTexto _btxt
337			_2rdamedia _aelectrónico _bc
338			_2rdacarrier _arecurso electrónico _bcr
347			_aarchivo de texto _bPDF
490	0		_aSpringer Tracts in Mechanical Engineering _x2195-9862
490	0		_aEngineering (SpringerNature-11647)
490	0		_aEngineering (R0) (SpringerNature-43712)
505	0		_aIntroduction -- Principles of condition monitoring systems -- Vibration components generated by rotary machinery -- Signal processing algorithms -- Vibration-based condition assessment methods -- Synthetic signals generation methods -- Simulating operational signals -- Simulating long-term machine fault development -- Analysis of long-term fault development -- Connecting MATLAB® to CMS -- Development of interface for direct data access (DDA) -- Prototype tools.
520	3		_aThis book offers the first comprehensive and practice-oriented guide to condition monitoring algorithms in MATLAB®. After a concise introduction to vibration theory and signal processing techniques, the attention is moved to the algorithms. Each signal processing algorithm is presented in depth, from the theory to the application, and including extensive explanations on how to use the corresponding toolbox in MATLAB®. In turn, the book introduces various techniques for synthetic signals generation, as well as vibration-based analysis techniques for large data sets. A practical guide on how to directly access data from industrial condition monitoring systems (CMS) using MATLAB® .NET Libraries is also included. Bridging between research and practice, this book offers an extensive guide on condition monitoring algorithms to both scholars and professionals. "Condition Monitoring Algorithms in MATLAB® is a great resource for anyone in the field of condition monitoring. It is a unique as it presents the theory, and a number of examples in Matlab®, which greatly improve the learning experience. It offers numerous examples of coding styles in Matlab, thus supporting graduate students and professionals writing their own codes." Dr. Eric Bechhoefer Founder and CEO of GPMS Developer of the Foresight MX Health and Usage Monitoring System.
988			_aSpringer_Engineering_2021
650		7	_2embne _9669177 _aIngeniería _xProceso de datos
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-030-62749-2 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE _n0
998			_b03/2021 _dz _eb _zSI