An LSTM-Autoencoder Architecture for Anomaly Detection Applied on Compressors Audio Data

<div>Trainable parameters in different models: the figure shows the comparison view for trainable parameters in all the employed deep learning networks based on their architecture (created by authors).</div>

Computational and Mathematical Methods

fig11

Figure 11

Figure 11: An LSTM-Autoencoder Architecture for Anomaly Detection Applied on Compressors Audio Data 