Research Article
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 |
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