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OverviewFull Product DetailsAuthor: Ramin Madarshahian , Francois HemezPublisher: Springer International Publishing AG Imprint: Springer International Publishing AG Edition: 1st ed. 2022 Weight: 0.420kg ISBN: 9783031041242ISBN 10: 3031041240 Pages: 156 Publication Date: 06 July 2023 Audience: Professional and scholarly , Professional & Vocational Format: Paperback Publisher's Status: Active Availability: Manufactured on demand  We will order this item for you from a manufactured on demand supplier. Table of ContentsChapter 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.ReviewsAuthor InformationRamin Madarshahian, Company: Kount, an Equifax company, ID, USA; Francois Hemez, Lawrence Livermore National Laboratory, Livermore, CA, USA Tab Content 6Author Website:Countries AvailableAll regions |
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