Research Article
Sequential Network with Residual Neural Network for Rotatory Machine Remaining Useful Life Prediction Using Deep Transfer Learning
Table 3
RMSE for different methods on RUL prediction.
| Method/dataset | 1–3 | 1–4 | 2–2 | 2–4 | 3–3 | 3–4 |
| RNN | 108.56 | 113.76 | 105.32 | 135.96 | 139.37 | 145.73 | LSTM | 65.13 | 70.34 | 51.08 | 64.12 | 69.14 | 85.65 | Two LSTM | 59.97 | 65.76 | 50.92 | 59.38 | 65.17 | 83.12 | GRU | 67.32 | 73.33 | 62.17 | 69.31 | 75.38 | 90.13 | Bi-LSTM | 51.03 | 61.25 | 43.41 | 58.14 | 60.79 | 68.88 | ResSN | 40.11 | 49.73 | 34.60 | 50.33 | 53.74 | 61.39 | ResSN-TL | 35.97 | 38.86 | 26.06 | 42.41 | 46.45 | 48.98 |
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