Rotating Machinery, Optical Methods & Scanning LDV Methods, Volume 6: Proceedings of the 39th IMAC, A Conference and Exposition on Structural Dynamics ... Society for Experimental Mechanics Series)

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
	8.2 Methodologies
		8.2.1 Intensity
		8.2.2 Fourier Transform
		8.2.3 Complex Steerable Pyramid
		8.2.4 Riesz Pyramid
	8.3 General Guidelines for Use
	8.4 Conclusion
	References
9 Squeeze Film Damper Experimental and Numerical Correlation: Test Setup Description and Parameter Identification of Dry System
	9.1 Introduction
	9.2 Damper Test Stand Description
	9.3 Closed-Form Solution
	9.4 Experimental Procedure and Results
	9.5 Numerical Modeling Procedure and Results
		9.5.1 Model Description
		9.5.2 Diaphragm Stiffness from Model
		9.5.3 Numerical Modal and Harmonic Analysis
	9.6 Comparison
	9.7 Conclusion
	References
10 Full-Field Modal Analysis by Using Digital Image Correlation Technique
	10.1 Introduction
	10.2 Background
		10.2.1 Low Speed Camera for High Frequency Behavior Characterization
	10.3 Experimental Setup and Results
		10.3.1 Demo Airplane
		10.3.2 Car Tire
	10.4 Conclusion
	References
11 Validating Complex Models Accurately and Without Contact Using Scanning Laser Doppler Vibrometry (SLDV)
	11.1 Introduction
	11.2 Test Case Scenarios for Vibrometry
	11.3 Measurement Principle of a Vibrometer
	11.4 Choosing a Vibrometer Configuration
	11.5 Optimizing Setup and Test Parameters
	11.6 Application Example 1: Modal Test on a Turbine Wheel [1]
	11.7 Application Example 2: Traveling Ultrasonic Wave Analysis
	11.8 Application Example 3: Dynamic Stress and Strain Characterization [2, 3]
	11.9 Conclusion
	References
12 Effect of Different Test Setup Configurations on the Identification of Modal Parameters from Digital Image Correlation
	12.1 Introduction
	12.2 Aliased Acquisition with Low-Speed Camera
	12.3 Experimental Setup
		12.3.1 Test Item
		12.3.2 FRF Testing
		12.3.3 Camera Setup/Measurement Chain
	12.4 Results
		12.4.1 Type of Excitation
		12.4.2 Number of Averages
		12.4.3 Extended Frequency Range
		12.4.4 Effect of Speckling the Surface
	12.5 Conclusion
	References
13 WaveImage  – Order ODS for Rotating Machineries
	13.1 Introduction
	13.2 Background
		13.2.1 Order Analysis
		13.2.2 Operating Deflection Shapes
		13.2.3 Optical Flow Analysis
		13.2.4 Measurement Setup
	13.3 Analysis
	13.4 Conclusion
	References
14 Multi-Level Damage Detection Using Octree Partitioning Algorithm
	14.1 Introduction
	14.2 The Proposed Algorithm
	14.3 Conclusion
	References
15 Photogrammetry-Based Experimental Modal Analysis for Plate Structures
	15.1 Introduction
	15.2 Methodology
		15.2.1 Kinematic Relation
		15.2.2 Point-Tracking Technique
		15.2.3 Photogrammetry-Based EMA
	15.3 Experimental Investigation
		15.3.1 Experimental Setup
		15.3.2 Data Processing
		15.3.3 EMA Method Results
	15.4 Conclusion
	References
16 An Optical Mode Shape-Based Damage Detection Using Convolutional Neural Networks
	16.1 Introduction
	16.2 Phase-Based Motion Magnification
	16.3 Convolutional Neural Networks
	16.4 Methodology
	16.5 Conclusion
	References
17 Full-Field 3D Experimental Modal Analysis from Dynamic Point Clouds Measured Using a Time-of-Flight Imager
	17.1 Introduction
	17.2 Background
	17.3 Analysis
	17.4 Conclusions
	References
18 Application of a U-Net Convolutional Neural Network to Ultrasonic Wavefield Measurements for Defect Characterization
	18.1 Introduction
	18.2 Background
		18.2.1 Convolutional Neural Networks
		18.2.2 Image Segmentation
	18.3 Methodology
		18.3.1 Project Overview
		18.3.2 Dataset Generation
		18.3.3 Image Processing
		18.3.4 Data Augmentation
		18.3.5 CNN Training
	18.4 Results and Discussion
	18.5 Conclusion
	References
19 Application of the RASTAR Method to Continuous Scanning LDV Measurements
	19.1 Introduction
	19.2 Test Structure, Setup, and Experimental Method
	19.3 Results and Analysis
	19.4 Conclusions
	References