Research Article
Discrete Cosine Transformation and Temporal Adjacent Convolutional Neural Network-Based Remaining Useful Life Estimation of Bearings
Table 3
Performance evaluation with different frame numbers.
| ā | DCT-TACNN/TFR-TACNN | | | | | |
| MAE | 90.85/121.68 | 66.03/100.66 | 45.23/80.35 | 53.31/72.12 | 63.69/79.35 | MSE | 90.45/105.93 | 41.79/80.59 | 36.27/75.02 | 33.15/70.33 | 50.10/88.54 | MAPE | 0.3754/0.5214 | 0.3266/0.5025 | 0.1893/0.4621 | 0.2619/0.4244 | 0.3028/0.4459 |
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