Intro
Preface
Contents
1 WaveAR: A Real-Time Sensor-Based Augmented Reality Implementation for Operating Deflection Shapes
1.1 Introduction
1.2 Background
1.3 Technical Implementation
1.3.1 Acceleration and Simplification of the Measurement Configuration for Electromechanical Sensors
1.3.2 Universal Data Acquisition Interface
1.3.3 Real-Time Visualization in the Form of an AR Application
1.4 Measurement Setup
1.5 Analysis
1.6 Conclusion
References
2 Full-Field 3D Mode Shape Measurement Using the Multiview Spectral Optical Flow Imaging Method

2.1 Introduction
2.2 Theoretical Background
2.3 Preliminary Experiment
2.4 Conclusions
References
3 Stereophotogrammetry Camera Pose Optimization
3.1 Introduction
3.2 General Stereophotogrammetry Setup
3.3 Stereo Pose Optimization
3.3.1 User Inputs
3.3.2 Setup: Establish Bounding Box
3.3.3 Pose Estimation
3.3.4 Pose Validation
3.3.5 Evaluating Output and Final Pose Selection
3.4 Predicting Observable Pixel Displacements with FEM
3.4.1 Algorithm to Determine Node Visibility from Camera Placements

3.4.2 Definition of Frequency Response Functions to Assess Arbitrary Inputs
3.4.3 Transformation to Modal Coordinates to Acquire Pixel Displacements for Modes of Interest
3.5 Conclusions and Future Work
References
4 Simplified Finite Element Models of Pyramidal Truss Sandwich Panels with Welded Joints for Dynamic Analysis and Their Experimental Validation
4.1 Introduction
4.2 Methodology
4.3 Results of Numerical Analysis
4.4 Experimental Validation
4.5 Conclusion
References

5 Operational Modal Analysis of Rotating Structures Under Ambient Excitation Using Tracking Continuously Scanning Laser Doppler Vibrometry
5.1 Introduction
5.2 Methodology
5.3 Experimental Setup
5.4 OMA Results
5.5 Conclusion
References
6 Delamination Detection in Fiber Metal Laminates Using Ultrasonic Wavefield Imaging
6.1 Introduction
6.2 Literature Review
6.3 Model Setup
6.4 Feature Extraction Process
6.4.1 Detrended Hilbert Envelope Magnitude (DHEM)
6.4.2 Low-Pass Local Phase Derivative (LLPD)
6.5 Qualitative Evaluation of the Feature Performance

6.5.1 Score Metric to Quantify the Feature Performance
6.5.2 Experimental Comparisons
6.6 Conclusion
References
7 One-Dimensional Convolutional Neural Networks for Real-Time Damage Detection of Rotating Machinery
7.1 Introduction and Overview of One-Dimensional CNNs
7.2 Proposed Methodology
7.3 Laboratory Setup for Bearing Tests
7.4 Damage Detection Results
7.5 Performance Evaluation in the Presence of Noisy Data
7.6 Computational Complexity Analysis
7.7 Conclusions
References
8 A Practical Guide to Motion Magnification
8.1 Introduction