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008			220704s2022 sz | s |||| 0|eng d
020			_a9783031041228
024	7		_a10.1007/978-3-031-04122-8 _2doi
040			_aES-MaUEC _bspa _cES-MaUEC
245	1	0	_aData Science in Engineering, Volume 9 _bProceedings of the 40th IMAC, A Conference and Exposition on Structural Dynamics 2022 _cedited by Ramin Madarshahian, Francois Hemez
250			_a1st edition 2022
264		1	_aCham _bSpringer International Publishing _c2022
300			_a1 recurso en línea (VIII, 156 páginas) _b124 ilustraciones, 109 ilustraciones a color
336			_atexto _btxt _2rdacontent
337			_aelectrónico _bc _2rdamedia
338			_arecurso electrónico _bcr _2rdacarrier
347			_aarchivo de texto _bPDF
490	0		_aConference Proceedings of the Society for Experimental Mechanics Series _x2191-5652
505	0		_aChapter 1. Model Updating for Nonlinear Dynamic Digital Twins Using Data-Based Inverse Mapping Models -- Chapter 2. Deep Reinforcement Learning for Active Structure Stabilization -- Chapter 3. Estimation of Structural Vibration Modal Properties Using a Spike-Based Computing Paradigm -- Chapter 4. Environmental-Insensitive Damage Features Based on Transmissibility Coherence -- Chapter 5. Transmittance Anomalies for Model-Based Damage Detection with Finite Element Generated Data and Deep Learning -- Chapter 6. Machine Learning based Condition Monitoring with Multibody Dynamics Models for Gear Transmission Faults -- Chapter 7. Structural Damage Detection Framework Using Metaheuristic Algorithms and Optimal Finite Element Modeling -- Chapter 8. On Aspects of Geometry in SHM and Population-Based SHM -- Chapter 9. A Robust PCA-based Framework for Long-Term Condition Monitoring of Civil Infrastructures -- Chapter 10. Data-Driven Parameter Identification for Turbomachinery Blisks -- Chapter 11. Classification of Rail Irregularities from Axle Box Accelerations using Random Forests and Convolutional Neural Networks -- Chapter 12. Development of a Surrogate Model for Structural Health Monitoring of a UAV Wing Spar -- Chapter 13. On a Description of Aeroplanes and Aeroplane Components using Irreducible Element Models -- Chapter 14. Input Estimation of Four-DOF Nonlinear Building Using Probabilistic Recurrent Neural Network -- Chapter 15. Simulation-Based Damage Detection for Composite Structures with Machine Learning Techniques -- Chapter 16. Synthesizing Dynamic Time-series Data for Structures Under Shock Using Generative Adversarial Networks -- Chapter 17. Multi-Layer Input Deep Learning Applied to Ultrasonic Wavefield Measurements.
520			_aData Science in Engineering, Volume 9: Proceedings of the 40th IMAC, A Conference and Exposition on Structural Dynamics, 2022, the nineth volume of nine from the Conference brings together contributions to this important area of research and engineering. The collection presents early findings and case studies on fundamental and applied aspects of Data Science in Engineering, including papers on: Novel Data-driven Analysis Methods Deep Learning Gaussian Process Analysis Real-time Video-based Analysis Applications to Nonlinear Dynamics and Damage Detection High-rate Structural Monitoring and Prognostics.
700	1		_aMadarshahian, Ramin _eeditor literario _4edt _4http://id.loc.gov/vocabulary/relators/edt
700	1		_aHemez, Francois _eeditor literario _4edt _4http://id.loc.gov/vocabulary/relators/edt
776	0	8	_iPrinted edition: _z9783031041211
776	0	8	_iPrinted edition: _z9783031041235
776	0	8	_iPrinted edition: _z9783031041242
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-031-04122-8 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE
988			_aSpringer_Robotics_2022
999			_c394665 _d394665