Remaining Useful Life Estimation Using Deep Convolutional Generative Adversarial Networks Based on an Autoencoder Scheme

<div>Prediction performances of different hyperparameters in FD001. (a) Prediction accuracy of different batch sizes in FD001. (b) Prediction accuracy of different hidden sizes in FD001.</div>

Computational Intelligence and Neuroscience

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Figure 7

Figure 7: Remaining Useful Life Estimation Using Deep Convolutional Generative Adversarial Networks Based on an Autoencoder Scheme 