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Table of Contents
Chapter 1. Introduction to Multipath Doppler Vibrometry (MDV) for Validating Complex Models Accurately and Without Contact
Chapter 2. DIC Using Low Speed Cameras on a Scaled Wind Turbine Blade
Chapter 3. Data Challenges for Structural Health Monitoring of Electrical Machines
Chapter 4. Neuromorphic Data Processing for Event-Driven Imagery for Acoustic Measurements
Chapter 5. Template Matching and Particle Filtering for Structural Identification of High and Low Frequency Vibration
Chapter 6. Multi-Sensor Collaborative Sampling Schemes to Reconstruct Undersampled Mechanical System Signals for Machinery Fault Detection
Chapter 7. Regime Sorting for Multiscale Vibrations and Phase-Based Motion Extraction
Chapter 8. Digital Image Correlation with a Neuromorphic Event-based Imager
Chapter 9. Monitoring the Response of Electrical Components during Environmental Vibration Tests Using a Scanning Laser Doppler Vibrometer
Chapter 10. Advanced Mesh Reconstruction with Low Budget RGBD-Hardware for Modal Analysis with the Software WaveImage
Chapter 11. Stereoscopic High Speed Camera Based Operational Modal Analysis using a One-camera Setup
Chapter 12. In-plane Vibration Measurement of an Aluminum Plate Using a Three-dimensional Continuously Scanning Laser Doppler Vibrometer System
Chapter 13. Measuring Full-Field Deformation in Ultra-High-Performance Concrete Structural Components using Tag-Based Robotic Vision
Chapter 14. Dynamic Behaviour and Magneto-Mechanical Efficiency of a Contactless Magnetic Transmission
Chapter 15. Structural Damage Identification for Plate-Like Structures Using Two-dimensional Teager Energy Operator-Wavelet Transform
Chapter 16. A Vision-based Quantification Approach for Reinforced Concrete Tunnel Liner Delamination
Chapter 17. An Optical Temporal and Spatial Vibration-Based Damage Detection Using Convolutional Neural Networks and Long Short-Term Memory
Chapter 18. A Hybrid-Attention-LSTM-Based Deep Convolutional Neural Network to Extract Modal Frequencies from Limited Dataset Using Transfer Learning
Chapter 19. Detecting and Reconstructing the 3D Geometry of Subsurface Structural Damage Using Full-Field Image-Based Sensing and Topology Optimization
Chapter 20. Optimal Kernel Design for the Extraction of Subtle Motions Using Convolutional Neural Network.
Chapter 2. DIC Using Low Speed Cameras on a Scaled Wind Turbine Blade
Chapter 3. Data Challenges for Structural Health Monitoring of Electrical Machines
Chapter 4. Neuromorphic Data Processing for Event-Driven Imagery for Acoustic Measurements
Chapter 5. Template Matching and Particle Filtering for Structural Identification of High and Low Frequency Vibration
Chapter 6. Multi-Sensor Collaborative Sampling Schemes to Reconstruct Undersampled Mechanical System Signals for Machinery Fault Detection
Chapter 7. Regime Sorting for Multiscale Vibrations and Phase-Based Motion Extraction
Chapter 8. Digital Image Correlation with a Neuromorphic Event-based Imager
Chapter 9. Monitoring the Response of Electrical Components during Environmental Vibration Tests Using a Scanning Laser Doppler Vibrometer
Chapter 10. Advanced Mesh Reconstruction with Low Budget RGBD-Hardware for Modal Analysis with the Software WaveImage
Chapter 11. Stereoscopic High Speed Camera Based Operational Modal Analysis using a One-camera Setup
Chapter 12. In-plane Vibration Measurement of an Aluminum Plate Using a Three-dimensional Continuously Scanning Laser Doppler Vibrometer System
Chapter 13. Measuring Full-Field Deformation in Ultra-High-Performance Concrete Structural Components using Tag-Based Robotic Vision
Chapter 14. Dynamic Behaviour and Magneto-Mechanical Efficiency of a Contactless Magnetic Transmission
Chapter 15. Structural Damage Identification for Plate-Like Structures Using Two-dimensional Teager Energy Operator-Wavelet Transform
Chapter 16. A Vision-based Quantification Approach for Reinforced Concrete Tunnel Liner Delamination
Chapter 17. An Optical Temporal and Spatial Vibration-Based Damage Detection Using Convolutional Neural Networks and Long Short-Term Memory
Chapter 18. A Hybrid-Attention-LSTM-Based Deep Convolutional Neural Network to Extract Modal Frequencies from Limited Dataset Using Transfer Learning
Chapter 19. Detecting and Reconstructing the 3D Geometry of Subsurface Structural Damage Using Full-Field Image-Based Sensing and Topology Optimization
Chapter 20. Optimal Kernel Design for the Extraction of Subtle Motions Using Convolutional Neural Network.