Time Series Generation on Electric Motor
1Training TimeTime-Transformer
Evaluation Results
| Method | Links | ||
|---|---|---|---|
| Time-TransformerSequence length=l = 1000, Hardware=DGX system (EPYC 7742, NVIDIA A100)2025.05 | 1 | — | |
| AEQ-RVAE-STTraining strategy=standard training (no subsequent), Sequence length=l = 1000, Hardware=workstation (Ryzen 9 5950X, NVIDIA RTX 3080)2025.05 | 2 | — | |
| Diffusion-TSSequence length=l = 1000, Hardware=DGX system (EPYC 7742, NVIDIA A100)2025.05 | 2 | 1 | |
| AEQ-RVAE-STTraining strategy=progressive training with +100 length increments, Sequence length=l = 1000, Hardware=workstation (Ryzen 9 5950X, NVIDIA RTX 3080)2025.05 | 8 | — | |
| TimeVAESequence length=l = 1000, Hardware=workstation (Ryzen 9 5950X, NVIDIA RTX 3080)2025.05 | 11 | — | |
| TimeGANSequence length=l = 1000, Hardware=DGX system (EPYC 7742, NVIDIA A100)2025.05 | 20 | — | |
| WaveGANSequence length=l = 1000, Hardware=workstation (Ryzen 9 5950X, NVIDIA RTX 3080)2025.05 | 40 | — |