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ACGAN-FG

The implementation of ACGAN-FG for zero-shot fault diagnosis.

Paper

W. Liao, L. Wu, S. Xu and S. Fujimura, "A Novel Zero-Shot Learning Method With Feature Generation for Intelligent Fault Diagnosis," in IEEE Transactions on Industrial Informatics, vol. 21, no. 4, pp. 3386-3395, April 2025, doi: 10.1109/TII.2025.3526478.

Dataset

This example is based on the Tennessee-Eastman Process (TEP) dataset.

Requirements

python = 3.9.20
Tensorflow = 2.10.0
pandas = 1.3.5
scikit-learn = 1.0.2                                                                                                     `

The codes was tested with tensorflow 2.10.0, CUDA driver 12.7, CUDA toolkit 11.8, Ubuntu 22.04.

Quick strat

python ACGAN-FG.py

No need to download the whole dataset, we readed and saved in .npz files

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The implementation of ACGAN-FG for zero-shot fault diagnosis (Ongoing update)

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