Remaining Useful Life prediction on NASA C-MAPSS FD001 (test)
7.78RMSEAuto RUL + LSTM
Evaluation Results
| Method | Links | |
|---|---|---|
| Auto RUL + LSTM2025.04 | 7.78 | |
| Auto RUL + LSTMType=Joint model, Degradation model=sophisticated2025.04 | 7.78 | |
| I-GLIDEHI Provision=true2026.05 | 9.47 | |
| STEPRegressor Head=Transformer, Bottleneck Dimension (z)=2, HI Provision=true2026.05 | 10.65 | |
| LSTM + FCLCNN2025.04 | 11.17 | |
| LSTM + FCLCNNType=Joint model2025.04 | 11.17 | |
| CNN-LSTM2026.05 | 11.17 | |
| STEPRegressor Head=Transformer, Bottleneck Dimension (z)=4, HI Provision=true2026.05 | 11.26 | |
| STEPRegressor Head=Transformer, Bottleneck Dimension (z)=8, HI Provision=true2026.05 | 11.34 | |
| MS-DCNN2026.05 | 11.44 | |
| VAE + RNN2026.05 | 11.44 | |
| AERegressor Head=Transformer2026.05 | 11.48 | |
| SoftCLTRegressor Head=Transformer, Bottleneck Dimension (z)=42026.05 | 11.56 | |
| MLE4X+CCF2026.05 | 11.57 | |
| STEPRegressor Head=Transformer, Bottleneck Dimension (z)=16, HI Provision=true2026.05 | 11.62 | |
| BLS + TCN2025.04 | 12.08 | |
| BLS + TCNType=Joint model2025.04 | 12.08 | |
| Transformer + TCNN2025.04 | 12.31 | |
| Transformer + TCNNType=Joint model2025.04 | 12.31 | |
| Prob. CNN2026.05 | 12.42 | |
| SSL2026.05 | 12.56 | |
| STEPRegressor Head=Linear Regression, Bottleneck Dimension (z)=4, HI Provision=true2026.05 | 12.87 | |
| SoftCLTRegressor Head=Transformer, Bottleneck Dimension (z)=22026.05 | 13.26 | |
| RVE2026.05 | 13.42 | |
| STEPRegressor Head=Linear Regression, Bottleneck Dimension (z)=2, HI Provision=true2026.05 | 15.3 | |
| HQRNN2025.04 | 15.46 | |
| HQRNNType=Proposed, Degradation model=piecewise linear2025.04 | 15.46 | |
| GBType=Classical ML2025.04 | 15.67 | |
| LSTMType=ANN2025.04 | 16.14 | |
| CNN + LSTM2025.04 | 16.16 | |
| CNN + LSTMType=Joint model2025.04 | 16.16 | |
| MLPType=ANN2025.04 | 16.78 | |
| RFType=Classical ML2025.04 | 17.91 | |
| CNNType=ANN2025.04 | 18.45 | |
| CNN2026.05 | 18.45 | |
| LASSOType=Classical ML2025.04 | 19.74 | |
| KNRType=Classical ML2025.04 | 20.46 | |
| SVR2026.05 | 20.96 | |
| RVR2026.05 | 23.8 | |
| MLP2026.05 | 37.56 | |
| SVMType=Classical ML2025.04 | 40.72 |