Rotating Machinery, Optical Methods & Scanning LDV Methods, Volume 6: Proceedings of the 40th IMAC, A Conference and Exposition on Structural Dynamics 2022

Rotating Machinery, Optical Methods & Scanning LDV Methods, Volume 6: Proceedings of the 40th IMAC, A Conference and Exposition on Structural Dynamics, 2022, the sixth 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 Structural Health Monitoring, including papers on: Novel Techniques Optical Methods, Scanning LDV Methods Photogrammetry & DIC Rotating Machinery.

Table of Contents:
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.

About the Author :
Dario Di Maio, Engineering Technology, University of Twente, ENSCHEDE, The Netherlands. Javad Baqersad, Kettering University, Flint, USA.