# Non-Destructive Testing Techniques

**Type:** Topics  
**Canonical URL:** https://scholariq.org/topics/non-destructive-testing-techniques/

## Facts

| Field | Value |
| --- | --- |
| Description | 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. |
| Domain | Physical Sciences |
| Field | Engineering |
| OpenAlex ID | t12169 |
| Works | 83 |

## Topic papers all

Showing 15 of 83.

- [Analysis of Edge-Detection Techniques for Crack Identification in Bridges](https://scholariq.org/papers/analysis-of-edge-detection-techniques-for-crack-identification-in-bridges/)
- [A methodology for structural health monitoring with diffuse ultrasonic waves in the presence of temperature variations](https://scholariq.org/papers/a-methodology-for-structural-health-monitoring-with-diffuse-ultrasonic-waves-in/)
- [Wind Turbine Surface Damage Detection by Deep Learning Aided Drone Inspection Analysis](https://scholariq.org/papers/wind-turbine-surface-damage-detection-by-deep-learning-aided-drone-inspection/)
- [Recent advances and trends of predictive maintenance from data-driven machine prognostics perspective](https://scholariq.org/papers/recent-advances-and-trends-of-predictive-maintenance-from-data-driven-machine/)
- [Multilevel Information Fusion for Induction Motor Fault Diagnosis](https://scholariq.org/papers/multilevel-information-fusion-for-induction-motor-fault-diagnosis/)
- [PCA-Based algorithm for unsupervised bridge crack detection](https://scholariq.org/papers/pca-based-algorithm-for-unsupervised-bridge-crack-detection/)
- [Progress and Trends in Damage Detection Methods, Maintenance, and Data-driven Monitoring of Wind Turbine Blades – A Review](https://scholariq.org/papers/progress-and-trends-in-damage-detection-methods-maintenance-and-data-driven/)
- [Feature Extraction and Sensor Fusion for Ultrasonic Structural Health Monitoring Under Changing Environmental Conditions](https://scholariq.org/papers/feature-extraction-and-sensor-fusion-for-ultrasonic-structural-health-monitoring/)
- [End-to-end prediction of weld penetration: A deep learning and transfer learning based method](https://scholariq.org/papers/end-to-end-prediction-of-weld-penetration-a-deep-learning-and-transfer-learning/)
- [Compressive Phase Retrieval From Squared Output Measurements Via Semidefinite Programming](https://scholariq.org/papers/compressive-phase-retrieval-from-squared-output-measurements-via-semidefinite/)
- [Crack Shape Reconstruction in Eddy Current Testing Using Machine Learning Systems for Regression](https://scholariq.org/papers/crack-shape-reconstruction-in-eddy-current-testing-using-machine-learning/)
- [Burn-through prediction and weld depth estimation by deep learning model monitoring the molten pool in gas metal arc welding with gap fluctuation](https://scholariq.org/papers/burn-through-prediction-and-weld-depth-estimation-by-deep-learning-model/)
- [A novel noise reduction method applied in negative pressure wave for pipeline leakage localization](https://scholariq.org/papers/a-novel-noise-reduction-method-applied-in-negative-pressure-wave-for-pipeline/)
- [Optimization of hybrid laser – TIG welding of 316LN steel using response surface methodology (RSM)](https://scholariq.org/papers/optimization-of-hybrid-laser-tig-welding-of-316ln-steel-using-response-surface/)
- [Ensemble Bagged Tree Based Classification for Reducing Non-Technical Losses in Multan Electric Power Company of Pakistan](https://scholariq.org/papers/ensemble-bagged-tree-based-classification-for-reducing-non-technical-losses-in/)

## Topic primary papers

Showing 15 of 27.

- [Progress and Trends in Damage Detection Methods, Maintenance, and Data-driven Monitoring of Wind Turbine Blades – A Review](https://scholariq.org/papers/progress-and-trends-in-damage-detection-methods-maintenance-and-data-driven/)
- [Crack Shape Reconstruction in Eddy Current Testing Using Machine Learning Systems for Regression](https://scholariq.org/papers/crack-shape-reconstruction-in-eddy-current-testing-using-machine-learning/)
- [Crack Depth Estimation by Using a Multi-Frequency ECT Method](https://scholariq.org/papers/crack-depth-estimation-by-using-a-multi-frequency-ect-method/)
- [Multifrequency Excitation and Support Vector Machine Regressor for ECT Defect Characterization](https://scholariq.org/papers/multifrequency-excitation-and-support-vector-machine-regressor-for-ect-defect/)
- [An experimental comparison of multi-frequency and chirp excitations for eddy current testing on thin defects](https://scholariq.org/papers/an-experimental-comparison-of-multi-frequency-and-chirp-excitations-for-eddy/)
- [Eddy Current Testing Probe Based on Double-Coil Excitation and GMR Sensor](https://scholariq.org/papers/eddy-current-testing-probe-based-on-double-coil-excitation-and-gmr-sensor/)
- [GMR-Based ECT Instrument for Detection and Characterization of Crack on a Planar Specimen: A Hand-Held Solution](https://scholariq.org/papers/gmr-based-ect-instrument-for-detection-and-characterization-of-crack-on-a-planar/)
- [Fractographic classification in metallic materials by using computer vision](https://scholariq.org/papers/fractographic-classification-in-metallic-materials-by-using-computer-vision/)
- [Evaluation of the lift-off robustness of eddy current imaging techniques](https://scholariq.org/papers/evaluation-of-the-lift-off-robustness-of-eddy-current-imaging-techniques/)
- [A novel TMR based triaxial eddy current test probe for any orientation crack detection](https://scholariq.org/papers/a-novel-tmr-based-triaxial-eddy-current-test-probe-for-any-orientation-crack/)
- [Multidirectional magneto-optical imaging system for weld defects inspection](https://scholariq.org/papers/multidirectional-magneto-optical-imaging-system-for-weld-defects-inspection/)
- [Evaluation of welding skill using probability density distributions and neural network analysis](https://scholariq.org/papers/evaluation-of-welding-skill-using-probability-density-distributions-and-neural/)
- [Magnetic Anomaly Detection Using Multifeature Fusion-Based Neural Network](https://scholariq.org/papers/magnetic-anomaly-detection-using-multifeature-fusion-based-neural-network/)
- [Analysis of arc welding process using Digital Storage Oscilloscope](https://scholariq.org/papers/analysis-of-arc-welding-process-using-digital-storage-oscilloscope/)
- [Determination of Z-Profiles of Diffraction Data from τ-Profiles Using a Numerical Linear Inversion Method](https://scholariq.org/papers/determination-of-z-profiles-of-diffraction-data-from-profiles-using-a-numerical/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.