Research Article
Sequential Network with Residual Neural Network for Rotatory Machine Remaining Useful Life Prediction Using Deep Transfer Learning
Table 9
RMSE results of hand-out cross validation.
| | Method | Dataset | | Data A | Data B | Data C | Data D |
| | RNN | 210.79 (25.34) | 255.91 (21.29) | 241.85 (30.15) | 225.16 (26.13) | | GRU | 92.47 (12.36) | 125.32 (18.24) | 112.74 (14.96) | 108.53 (13.85) | | Bi-LSTM | 76.15 (10.98) | 88.62 (11.34) | 82.49 (9.54) | 85.17 (12.79) | | ResSN-TL | 54.69 (7.85) | 71.48 (7.16) | 67.13 (6.35) | 60.88 (11.47) |
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