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

Table 3

Details of the C-MAPSS dataset.

Dataset	FD001	FD002	FD003	FD004
Engines of the training set	100	260	100	249
Engines of the test set	100	259	100	248
Fault modes	1	1	2	2
Operational modes	1	6	1	6
Training samples (default)	17,731	48,819	21,820	57,522
Testing samples	100	259	100	248