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The Deep Learning code for paper Metallic Plate Permeability Estimation using Single Frequency Eddy Current Testing in the Presence of Probe Lift-off

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Metallic-Plate-Permeability-Estimation-using-Single-Frequency-Eddy-Current-Testing

The Deep Learning code for paper Metallic Plate Permeability Estimation using Single Frequency Eddy Current Testing in the Presence of Probe Lift-off

The architecture of the DL model is the modified ResNet18-1D. The inductance spectrum is fed to the input layer of the model, while other input variables are appended to the internal layer of the model, cascading with low-dimensional feature vectors extracted from the inductance spectrum.

model_architecture_3

Get dataset from Kaggle (https://www.kaggle.com/datasets/rusuanjun/plate-permeability-dataset). Run the train.py to train the network.

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The Deep Learning code for paper Metallic Plate Permeability Estimation using Single Frequency Eddy Current Testing in the Presence of Probe Lift-off

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