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| 001 | 94541 | ||
| 003 | ES-MaUEC | ||
| 005 | 20230102112618.0 | ||
| 006 | m o d | ||
| 007 | cr cnu|||unuuu | ||
| 008 | 160906t20162017sz o 101 0 eng d | ||
| 020 |
_a3319414593 _q(electronic bk.) |
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| 020 |
_a9783319414591 _q(electronic bk.) |
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| 020 | _z3319414585 | ||
| 020 |
_z9783319414584 _q(print) |
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| 035 |
_a(OCoLC)957772928 _z(OCoLC)957955690 |
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| 040 |
_aN$T _cN$T _dIDEBK _dGW5XE _dEBLCP _dOCLCO _dYDX _dN$T _dOCLCO _dOCLCF _dOCLCO _dUAB _dIOG _dESU _dZ5A _dJBG _dIAD _dICW _dICN _dOTZ _dOCLCQ _dU3W _dES-MaUEC _bspa |
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| 050 | 4 |
_aTA656.6 _bA383 2016 EB |
|
| 111 | 2 |
_aInternational Conference on Acoustics and Vibration _n(1st : _d2016 : _cHammamet, Tunisia) |
|
| 245 | 1 | 0 |
_aAdvances in acoustics and vibration : _bproceedings of the International Conference on Acoustics and Vibration (ICAV2016), March 21-23, Hammamet, Tunisia _cTahar Fakhfakh, Fakher Chaari, Lasaad Walha, Moez Abdennadher, Mohamed Slim Abbes, Mohamed Haddar, editors. |
| 246 | 3 | _aICAV 2016 | |
| 264 | 1 |
_aSwitzerland _bSpringer _c[2016]. |
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| 264 | 4 | _c2017 | |
| 300 | _a1 recurso en línea | ||
| 336 |
_aTexto _btxt _2rdacontent |
||
| 337 |
_aelectrónico _bc _2rdamedia |
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| 338 |
_arecurso electrónico _bcr _2rdacarrier |
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| 490 | 0 |
_aApplied condition monitoring _vvolume 5 |
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| 500 | _aIncludes index. | ||
| 500 |
_aSpringerLink _bSpringer Engineering eBooks 2017 English+International |
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| 505 | 0 | _aPreface; Contents; 1 Fault Diagnosis in Gas Turbine Based on Neural Networks: Vibrations Speed Application; Abstract; 1 Introduction; 2 Diagnosis Based on Neural Network; 2.1 Neural Networks Learning; 2.1.1 Back Propagation Algorithm; 2.2 Generating Residues; 2.2.1 Evaluation of Residues; 3 Application Results; 4 Conclusion; References; 2 Early Detection of Gear Faults in Variable Load and Local Defect Size Using Ensemble Empirical Mode Decomposition (EEMD); Abstract; 1 Introduction; 2 EMD and EEMD Algorithms; 3 Application; 4 Conclusion; References | |
| 505 | 8 | _a3 Design of Shunted Piezoelectric Patches Using Topology Optimization for Noise and Vibration AttenuationAbstract; 1 Introduction; 2 Electromechanical Model; 2.1 Finite Element Formulation; 2.2 Reduced-Order Model and Coupling Factors; 3 Topology Optimization Based on SIMP Method; 3.1 Piezoelectric Material Model; 3.2 Optimization Problem; 3.3 Sensitivity Analysis; 4 Numerical Implementation; 5 Examples; 5.1 A Cantilever Beam with One Piezoelectric Patch; 5.2 Sound Power Radiated from a Thin Plate; 6 Conclusions; References | |
| 505 | 8 | _a3.1 Approximation of the Scattered Field in the Quasi-Backscattering Configuration3.2 A Music Algorithm; 4 Numerical Results; 4.1 Reconstruction of One Inclusion; 4.2 Reconstruction of Multiple Inclusions; References; 6 Characterization of Sandwich Beams with Shear Damage by Linear Vibration Method; Abstract; 1 Introduction; 2 Materials and Experimental Procedures; 2.1 Materials; 2.2 Experimental Set up; 3 Linear Vibration; 3.1 Effects of Damage Densities on the Frequencies; 3.2 Effects of Damage Densities on the Loss Factors; 4 Conclusion; References | |
| 505 | 8 | _a4 Prediction of Sound Radiation from Submerged Cylindrical Shell Structure with an Interpolation Method for the Measured Surface VelocityAbstract; 1 Introduction; 2 Interpolation Method for Surface Velocity on Structure; 3 Sound Radiation Prediction from Cylindrical Shell; 3.1 Numerical Simulation; 3.2 Experimental Verification; 4 Conclusion; Acknowledgments; References; 5 Identification of Small Objects with Near-Field Data in Quasi-Backscattering Configurations; Abstract; 1 Introduction; 2 Direct Problem; 3 A Music Type Algorithm for the Inverse Problem | |
| 505 | 8 | _a7 Parameter Identification of a Sandwich Beam Using Numerical-Based Inhomogeneous Wave Correlation MethodAbstract; 1 Introduction; 2 Identification Methods; 2.1 The Mc Daniel Method; 2.2 The IWC Method; 3 Experiments and Numerical Simulations; 3.1 Structure; 3.2 Results and Discussions; 3.2.1 Experimental Results; 3.2.2 Numerical Simulations Compared to Experimental Results; 3.2.3 Numerical Simulations; 4 Conclusion; References; 8 Time Domain Stability Analysis for Machining Processes; Abstract; 1 Introduction; 2 Stability Prediction in Turning; 2.1 Dynamic Cutting Model in Turning | |
| 650 | 7 |
_aAcústica arquitectónica _2embne _0(OCoLC)fst00795936 _0 _9140805 |
|
| 700 | 1 |
_aAbbes, Mohamed Slim, _eeditor literario |
|
| 700 | 1 |
_aAbdennadher, Moez, _eeditor literario |
|
| 700 | 1 |
_aChaari, Fakher _eeditor literario _997066 |
|
| 700 | 1 |
_aFakhfakh, Tahar, _eeditor literario |
|
| 700 | 1 |
_aHaddar, Mohamed _eeditor literario _997069 |
|
| 700 | 1 |
_aWalha, Lasaad, _eeditor literario |
|
| 856 | 4 | 0 |
_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=http://link.springer.com/10.1007/978-3-319-41459-1 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid) |
| 988 | _aEBOOK, asignarmaterias, EBSPRINGER_2017A | ||
| 998 |
_b02/2018 _dz _e- _zSI |
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| 999 |
_c94541 _d94541 _x1 |
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