000			04027nam a22004095i 4500
001			110594
003			ES-MaUEC
006			a||||fo|||| 00| 0
007			cr nn nnnaamaa
008			190207s2019 gw a o |||| 0|eng d
020			_a9783030112202 _9
024	7		_a10.1007/978-3-030-11220-2 _2doi
040			_bspa _dES-MaUEC
050		4	_aTJ5 _b2019 EB
245	0	0	_aAdvances in Condition Monitoring of Machinery in Non-Stationary Operations : _bProceedings of the 6th International Conference on Condition Monitoring of Machinery in Non-Stationary Operations, CMMNO'2018, 20-22 June 2018, Santander, Spain _cedited by Alfonso Fernandez Del Rincon, Fernando Viadero Rueda, Fakher Chaari, Radoslaw Zimroz, Mohamed Haddar.
264		1	_aCham _bSpringer International Publishing : _bImprint: Springer _c2019.
300			_a1 recurso en línea (XI, 423 páginas) _b 274 ilustraciones, 218 ilustraciones a color
347			_atext file _bPDF
490	0		_aApplied Condition Monitoring _x2363-698X _v15
490	0		_aEngineering (Springer-11647)
505	0		_aCondition Monitoring in Non-Stationary Operations -- Extraction of Weak Bearing Fault Signatures from Non-Stationary Signals Using Parallel Wavelet Denoising -- Neighbor Retrieval Visualizer for Monitoring Lifting Cranes -- Monitoring and Diagnostic Systems -- Convolutional Neural Networks for Fault Diagnosis Using Rotating Speed Normalized Vibration -- Monitoring of a High-Speed Train Bogie Using the EMD Technique -- Default Detection in a Back-To-Back Planetary Gear-Box through Current and Vibration Signals -- Noise and Vibration in Machines -- Identification of Torsional Vibration Modal Parameters: Application on a Ferrari Engine Crankshaft -- Experimental Characterization of Metal-Mesh Isolators Damping Capacity by Constitutive Mechanical Model -- Signal Processing -- Separation of Impulse from Oscillation for Detection of Bearing Defect in the Vibration Signal -- Vibro-Acoustic Diagnosis of Machinery -- Cyclo-Non-Stationary Based Bearing Diagnostics of Planetary Gearboxes -- Cyclostationary Approach for Long Term Vibration Data Analysis -- Monitoring of Soil Density During Compaction Processes.
520	3		_aThis book is aimed at researchers, industry professionals and students interested in the broad ranges of disciplines related to condition monitoring of machinery working in non-stationary conditions. Each chapter, accepted after a rigorous peer-review process, reports on a selected, original piece of work presented and discussed at the International Conference on Condition Monitoring of Machinery in Non-stationary Operations, CMMNO'2018, held on June 20 - 22, 2018, in Santander, Spain. The book describes both theoretical developments and a number of industrial case studies, which cover different topics, such as: noise and vibrations in machinery, conditioning monitoring in non-stationary operations, vibro-acoustic diagnosis of machinery, signal processing, application of pattern recognition and data mining, monitoring and diagnostic systems, faults detection, dynamics of structures and machinery, and mechatronic machinery diagnostics.
650		7	_aMáquinas _vCongresos _2embne _9138097
650		7	_aIngeniería mecánica _vCongresos _2embne _9146662
700	1		_aChaari, Fakher _eeditor literario _997066
700	1		_aFernandez Del Rincon, Alfonso. _eeditor literario
700	1		_aHaddar, Mohamed _eeditor literario _997069
700	1		_aViadero Rueda, Fernando. _eeditor literario
700	1		_aZimroz, Radoslaw _eeditor literario _997067
710	2		_aSpringerLink (Online service) _9106996
776	0	8	_iPrinted edition: _z9783030112196
776	0	8	_iPrinted edition: _z9783030112219
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-030-11220-2 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE
988			_aPrimersemestre_2019_Engineering
998			_aSI _a_alco _a_vill _b08/2019 _cm _dz _ea _feng _ggw _h0
999			_c110594 _d110594 _x1