专题：Non-Destructive Testing Techniques

This cluster of papers focuses on non-destructive techniques based on eddy current testing, including pulsed eddy current and magnetic flux leakage methods. The papers cover topics such as defect detection, sensor design, feature extraction, and material characterization using advanced signal processing and machine learning techniques.
最新文献
Physics-informed machine learning approach for the prediction of critical column and explosive demolition planning of frame structure

article Full Text OpenAlex

Automatic lightweight networks for real-time road crack detection with DPSO

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Deep Learning-based data-driven technique for early-age concrete strength monitoring using the non-bonded piezoelectric sensor system

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Recent Trends in Non-Destructive Testing Approaches for Composite Materials: A Review of Successful Implementations

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Fatigue Life Prediction for Orthotropic Steel Bridge Decks welds Using a Gaussian Variational Bayes Network and Small Sample Experimental Data

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Improved YOLOv8 for High-Precision Detection of Rail Surface Defects on Heavy-Haul Railways

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Advancements and emerging trends in integrating machine learning and deep learning for SHM in mechanical and civil engineering: a comprehensive review

review Full Text OpenAlex

Hybrid-driven high-cycle fatigue life prediction: Physically constrained neural network optimization with small sample learning

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Machine learning techniques in ultrasonics-based defect detection and material characterization: A comprehensive review

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Physics-based machine learning for fatigue lifetime prediction under non-uniform loading scenarios

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近5年高被引文献
Loss of Life Transformer Prediction Based on Stacking Ensemble Improved by Genetic Algorithm By IJISRT

article Full Text OpenAlex 1323 FWCI515.552

A perspective survey on deep transfer learning for fault diagnosis in industrial scenarios: Theories, applications and challenges

article Full Text OpenAlex 573 FWCI59.611

YOLO-v1 to YOLO-v8, the Rise of YOLO and Its Complementary Nature toward Digital Manufacturing and Industrial Defect Detection

article Full Text OpenAlex 573 FWCI156.959

A Fourier-based Framework for Domain Generalization

article Full Text OpenAlex 351 FWCI29.695

Same Same But DifferNet: Semi-Supervised Defect Detection with Normalizing Flows

article Full Text OpenAlex 323 FWCI98.238

A novel approach to explain the black-box nature of machine learning in compressive strength predictions of concrete using Shapley additive explanations (SHAP)

article Full Text OpenAlex 317 FWCI37.149

Digital twin, physics-based model, and machine learning applied to damage detection in structures

article Full Text OpenAlex 256 FWCI26.248

Analyses of internal structures and defects in materials using physics-informed neural networks

article Full Text OpenAlex 236 FWCI27.73

Efficient attention-based deep encoder and decoder for automatic crack segmentation

article Full Text OpenAlex 226 FWCI23.196

A Systematic Review of Advanced Sensor Technologies for Non-Destructive Testing and Structural Health Monitoring

review Full Text OpenAlex 224 FWCI10.398