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

Table 1

Model parameters for LSTM-AE architecture (created by authors).

Model hyperparameters and configuration
Model architecture	LSTM-Autoencoder
Number of classes	2
Number of layers	8
Batch size	128
Number of epochs	50
Number of units	50
Dropout rate	0.1
Total number of trainable parameters	93,004