Rotating Machinery, Optical Methods & Scanning LDV Methods, Volume 6

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