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FGPAA

Fault-Attention Generative Probabilistic Adversarial Autoencoder for Machine Anomaly Detection

Install / Use

/learn @a1018680161/FGPAA
About this skill

Quality Score

0/100

Supported Platforms

Universal

README

Fault-Attention Generative Probabilistic Adversarial Autoencoder for Machine Anomaly Detection

PyTorch code for paper: Fault-Attention Generative Probabilistic Adversarial Autoencoder for Machine Anomaly Detection

It is modified from https://github.com/podgorskiy/GPND.

Steps

setp1: download data on https://github.com/cathysiyu/Mechanical-datasets

step2: run SEUget.py to process the data

step3: run FGPAA.py

Citing

If you use this code in your research, please use the following BibTeX entry.

@ARTICLE{9016153,
  author={J. {Wu} and Z. {Zhao} and C. {Sun} and R. {Yan} and X. {Chen}},
  journal={IEEE Transactions on Industrial Informatics}, 
  title={Fault-Attention Generative Probabilistic Adversarial Autoencoder for Machine Anomaly Detection}, 
  year={2020},
  volume={16},
  number={12},
  pages={7479-7488},}

Related Skills

View on GitHub
GitHub Stars18
CategoryDevelopment
Updated11mo ago
Forks4

Languages

Python

Security Score

67/100

Audited on May 9, 2025

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