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710	2		_aSpringerLink (Online service) _9106996
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005			20230102113426.0
008			180719s2019 gw a o |||| 0|eng d
020			_a9783319961811
024	7		_a10.1007/978-3-319-96181-1 _2doi
040			_bspa _dES-MaUEC _cES-MaUEC
050		4	_aTJ148 _b2019 EB
245	0	0	_aRotating Machinery and Signal Processing : _bProceedings of the First Workshop on Signal Processing Applied to Rotating Machinery Diagnostics, SIGPROMD'2017, April 09-11, 2017, Setif, Algeria _cedited by Ahmed Felkaoui, Fakher Chaari, Mohamed Haddar.
264		1	_aCham _bSpringer International Publishing : _bImprint: Springer _c2019.
300			_a1 recurso en línea (VIII, 133 páginas) _b84 ilustraciones
336			_2rdacontent _aTexto _btxt
337			_2rdamedia _aelectrónico _bc
338			_2rdacarrier _arecurso electrónico _bcr
347			_atext file _bPDF
490	0		_aApplied Condition Monitoring _x2363-698X _v12
490	0		_aEngineering (Springer-11647)
505	0		_aFrom the content: Feature Selection Scheme Based on Pareto Method for Gearbox Fault Diagnosis -- A Intelligent Gear Fault Diagnosis in Normal and Non-Stationary Conditions Based on Instantaneous Angular Speed, Differential Evolution and Multi-class Support Vector Machine -- Effect of Input Data on The Neural Networks Performance Applied in Bearing Fault Diagnosis.
520	3		_aThis book provides readers with a timely snapshot of the potential offered by and challenges posed by signal processing methods in the field of machine diagnostics and condition monitoring. It gathers contributions to the first Workshop on Signal Processing Applied to Rotating Machinery Diagnostics, held in Setif, Algeria, on April 9-10, 2017, and organized by the Applied Precision Mechanics Laboratory (LMPA) at the Institute of Precision Mechanics, University of Setif, Algeria and the Laboratory of Mechanics, Modeling and Manufacturing (LA2MP) at the National School of Engineers of Sfax. The respective chapters highlight research conducted by the two laboratories on the following main topics: noise and vibration in machines; condition monitoring in non-stationary operations; vibro-acoustic diagnosis of machinery; signal processing and pattern recognition methods; monitoring and diagnostic systems; and dynamic modeling and fault detection.
988			_aPrimersemestre_2019_Engineering
650		7	_aMáquinas _xEnsayos _2embne _9138097
700	1		_aChaari, Fakher _eeditor literario _4edt _4http://id.loc.gov/vocabulary/relators/edt _997066
700	1		_aFelkaoui, Ahmed. _eeditor literario _4edt _4http://id.loc.gov/vocabulary/relators/edt
700	1		_aHaddar, Mohamed _eeditor literario _4edt _4http://id.loc.gov/vocabulary/relators/edt _997069
776	0	8	_iPrinted edition: _z9783030071493
776	0	8	_iPrinted edition: _z9783319961804
776	0	8	_iPrinted edition: _z9783319961828
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-319-96181-1 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE
998			_aSI _cm _dz _feng _ggw _h0 _b08/2019 _ea _zSI