Ritabrata Chakraborty
Ritabrata Chakraborty
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ACWGAN-GP
An Efficient Approach for Synthetic Data Generation and Fault Diagnosis for Rotating Machinery
This study explores the use of an Auxiliary Classifier Wasserstein GAN with Gradient Penalty (ACWGAN-GP) for synthetic data generation and fault diagnosis in rotating machinery, addressing data scarcity and class imbalance challenges.
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