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

Table 6

Score function comparison with the literature on the C-MAPSS dataset.

DL approach and references	FD001	FD002	FD003	FD004
CNN + FNN [23]	1287	13,570	1596	7886
MODBNE [28]	334	5585	422	6558
LSTM + FNN [20]	338	4450	852	5550
CNN + FNN [8]	274	10,412	284	12,466
BiLSTM-ED [27]	273	3099	574	3202
RBM + LSTM [24]	231	3366	251	2840
Proposed architecture	174	2982	273	3874