000			02799nam a22004215i 4500
710	2		_aSpringerLink (Online service) _9106996
999			_c110770 _d110770 _x1
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003			ES-MaUEC
005			20230102113437.0
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007			cr nn nnnaamaa
008			181204s2019 gw a o |||| 0|eng d
020			_a9783030059712
024	7		_a10.1007/978-3-030-05971-2 _2doi
040			_bspa _dES-MaUEC _cES-MaUEC
050		4	_aTJ828 _b2019 EB
100	1		_aBarszcz, Tomasz _eautor _9670532
245	1	0	_aVibration-Based Condition Monitoring of Wind Turbines _cTomasz Barszcz
264		1	_aCham _bSpringer International Publishing : _bImprint: Springer _c2019
300			_a1 recurso en línea (XX, 215 páginas) _b156 ilustraciones, 115 ilustraciones a color
336			_2rdacontent _aTexto _btxt
337			_2rdamedia _aelectrónico _bc
338			_2rdacarrier _arecurso electrónico _bcr
347			_atext file _bPDF
490	0		_aApplied Condition Monitoring _x2363-698X _v14
490	0		_aEngineering (Springer-11647)
505	0		_aIntroduction -- Standard Vibration Analysis Methods -- Condition Monitoring Systems -- Signal Preprocessing and Validation -- Advanced Analysis Methods -- Further Research.
520	3		_aThis book describes in detail different types of vibration signals and the signal processing methods, including signal resampling and signal envelope, used for condition monitoring of drivetrains. A special emphasis is placed on wind turbines and on the fact that they work in highly varying operational conditions. The core of the book is devoted to cutting-edge methods used to validate and process vibration data in these conditions. Key case studies, where advanced signal processing methods are used to detect failures of gearboxes and bearings of wind turbines, are described and discussed in detail. Vibration sensors, SCADA (Supervisory Control and Data Acquisition), portable data analyzers and online condition monitoring systems, are also covered. This book offers a timely guide to both researchers and professionals working with wind turbines (but also other machines), and to graduate students willing to extend their knowledge in the field of vibration analysis.
650		7	_2embne _aAerogeneradores _xVibración _9145746
650		7	_2embne _9139500 _aEnergía eólica
650		7	_2embne _aRecursos energéticos renovables _9143912
776	0	8	_iPrinted edition: _z9783030059699
776	0	8	_iPrinted edition: _z9783030059705
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-030-05971-2 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE
988			_aPrimersemestre_2019_Engineering
998			_aSI _cm _dz _feng _ggw _h0 _b09/2019 _eel _zSI