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Issues
May 2023
ISSN 2572-3901
EISSN 2572-3898
In this Issue
Research Papers
Detection and Characterization of Fatigue Cracks in Butt Welds of Offshore Structures Using the Eddy Current Method
ASME J Nondestructive Evaluation. May 2023, 6(2): 021001.
doi: https://doi.org/10.1115/1.4056313
Log Grading and Knot Identification by Oblique X-Ray Scanning
ASME J Nondestructive Evaluation. May 2023, 6(2): 021002.
doi: https://doi.org/10.1115/1.4056342
Topics:
X-rays
,
Sensors
,
Lumber
,
Algorithms
,
Image processing
Spindle Condition Monitoring With a Smart Vibration Sensor and an Optimized Deep Neural Network
ASME J Nondestructive Evaluation. May 2023, 6(2): 021003.
doi: https://doi.org/10.1115/1.4056616
Topics:
Artificial neural networks
,
Condition monitoring
,
Failure
,
Failure mechanisms
,
Sensors
,
Signals
,
Vibration
Comprehensive Correlations for Small Punch Test Response Post-Processing Toward Preserved Mechanical Strength Estimation
ASME J Nondestructive Evaluation. May 2023, 6(2): 021004.
doi: https://doi.org/10.1115/1.4062093
Topics:
Finite element analysis
,
Tensile strength
,
Testing
,
Yield strength
,
Simulation
,
Strength (Materials)
,
Fittings
,
Deflection
Contactless Evaluation of Stress in Anisotropic Metallic Plates Using Nonlinear Electromagnetic Acoustic Resonance Technique
ASME J Nondestructive Evaluation. May 2023, 6(2): 021005.
doi: https://doi.org/10.1115/1.4062253
Topics:
Acoustics
,
Anisotropy
,
Plates (structures)
,
Resonance
,
Shear waves
,
Stress
,
Tension
,
Signals
Fault Diagnostics and Faulty Pattern Analysis of High-Speed Roller Bearings Using Deep Convolutional Neural Network
ASME J Nondestructive Evaluation. May 2023, 6(2): 021006.
doi: https://doi.org/10.1115/1.4062252
Topics:
Artificial neural networks
,
Bearings
,
Vibration
,
Roller bearings
Leveraging Full-Field Deformation Measurements in Computational Modeling of Damage
ASME J Nondestructive Evaluation. May 2023, 6(2): 021007.
doi: https://doi.org/10.1115/1.4062291
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Effect of Various Notch Shapes on Lamb Wave Scattering Behavior in a Bent Plate
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Similarity Analysis to Enhance Transfer Learning for Damage Detection
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Stress Evaluation of Ferromagnetic Materials Based on a New Barkhausen Noise Sensor Composed by High Entropy Alloy Magnetic Core
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Long Short-Term Memory Autoencoder for Anomaly Detection in Rails Using Laser Doppler Vibrometer Measurements
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