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[JAS-26] Deep Domain Adaptation for Turbofan Engine Remaining Useful Life Prediction: Methodologies, Evaluation and Future Trends

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Deep Domain Adaptation for Turbofan Engine Remaining Useful Life Prediction: Methodologies, Evaluation and Future Trends [Paper]

by: Yucheng Wang, Mohamed Ragab, Yubo Hou, Zhenghua Chen, Min Wu, and Xiaoli Li

Supported Method

Supported Dataset

Requirmenets:

  • Python3.x
  • Pytorch==1.12.1
  • Numpy
  • Sklearn
  • Pandas

Train the model

To pre train model:

python pretrain_main.py 

To train model for domain adaptation:

python main_cross_domains.py --da_method [method] --dataset [dataset]    

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[JAS-26] Deep Domain Adaptation for Turbofan Engine Remaining Useful Life Prediction: Methodologies, Evaluation and Future Trends

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