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

Table 5

RMSE comparison with the literature on the C-MAPSS dataset.

DL approach and references	FD001	FD002	FD003	FD004
CNN + FNN [23]	18.45	30.29	19.82	29.16
MODBNE [28]	15.04	25.05	12.51	28.66
LSTM + FNN [20]	16.14	24.49	16.18	28.17
CNN + FNN [8]	12.61	22.36	12.64	23.31
BiLSTM-ED [27]	14.74	22.07	17.48	23.49
RBM + LSTM [24]	12.56	22.73	12.10	22.66
Proposed architecture	10.71	19.49	11.48	19.71