Add best C-MAPSS JEPA, critic, and RUL checkpoints
Browse files- README.md +54 -0
- checkpoints.json +29 -0
- checkpoints/critic/vulcan_epoch0030.pt +3 -0
- checkpoints/jepa/jepa_epoch0003.pt +3 -0
- checkpoints/rul/rul_sequence.pt +3 -0
README.md
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---
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license: mit
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tags:
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- predictive-maintenance
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- cmapss
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- remaining-useful-life
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- graph-neural-networks
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- jepa
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- anomaly-detection
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library_name: pytorch
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---
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# Diagnostic Graph PDM — Best C-MAPSS Checkpoints
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Best observed checkpoints from the [Diagnostic-Graph-PDM](https://github.com/Sph3inz/Diagnostic-Graph-PDM) stack: Graph-JEPA pretrain → Energy Critic → TCN+Transformer RUL with energy fusion.
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## Files
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| File | Role | Selection criterion |
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|------|------|-------------------|
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| `checkpoints/jepa/jepa_epoch0003.pt` | Graph-JEPA encoder (FD123 + unlabeled FD004) | Epoch 3 val loss 0.0025 |
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| `checkpoints/critic/vulcan_epoch0030.pt` | Energy Critic + encoder (JEPA-init) | Best saved FD1234 critic (~0.97 val F1) |
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| `checkpoints/rul/rul_sequence.pt` | TCN+Transformer RUL (FD001) | Best val RMSE epoch 54 — test RMSE **12.485**, NASA **294.6** |
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See `checkpoints.json` for paths and metrics.
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## Usage
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```powershell
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pip install torch typer omegaconf rich
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git clone https://github.com/Sph3inz/Diagnostic-Graph-PDM.git
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cd Diagnostic-Graph-PDM
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pip install -e .
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hf download Sph3inxz/Diagnostic-Graph-PDM --local-dir ./hf_ckpt
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# Scan / localize (critic)
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python -m vulcan scan data/cmapss_fd001.graphs.jsonl `
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--checkpoint hf_ckpt/checkpoints/critic/vulcan_epoch0030.pt --format summary
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# RUL eval
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python eval_ckpt.py hf_ckpt/checkpoints/rul/rul_sequence.pt
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```
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Train critic from JEPA:
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```powershell
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python -m vulcan train --config configs/critic_cmapss_fd1234_jepa.yaml `
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--resume-from hf_ckpt/checkpoints/jepa/jepa_epoch0003.pt
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```
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## Citation
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If you use these weights, link the GitHub repo: https://github.com/Sph3inz/Diagnostic-Graph-PDM
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checkpoints.json
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{
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"stack": "jepa-critic-rul",
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"benchmark": "NASA C-MAPSS",
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"checkpoints": {
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"jepa": {
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"path": "checkpoints/jepa/jepa_epoch0003.pt",
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"config": "configs/jepa_cmapss_fd123_plus_fd004_unlabeled.yaml",
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"epoch": 3,
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"notes": "FD123 + unlabeled FD004 JEPA pretrain"
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},
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"critic": {
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"path": "checkpoints/critic/vulcan_epoch0030.pt",
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"config": "configs/critic_cmapss_fd1234_jepa.yaml",
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"epoch": 30,
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"val_f1_approx": 0.9697,
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"notes": "JEPA-initialized FD1234 energy critic; use for scan and RUL energy fusion"
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},
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"rul": {
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"path": "checkpoints/rul/rul_sequence.pt",
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"config": "configs/rul_sota_cmapss.yaml",
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"best_epoch": 54,
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"test_rmse": 12.485,
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"test_mae": 8.963,
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"nasa_score": 294.6,
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"notes": "FD001 TCN+Transformer RUL, best validation checkpoint reloaded"
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}
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},
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"github": "https://github.com/Sph3inz/Diagnostic-Graph-PDM"
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}
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checkpoints/critic/vulcan_epoch0030.pt
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version https://git-lfs.github.com/spec/v1
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oid sha256:e6ebf4c66d20a72f62f1bb945b9ceaff16c290b2d23c450e6ceddb6ce196eb13
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size 9647345
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checkpoints/jepa/jepa_epoch0003.pt
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version https://git-lfs.github.com/spec/v1
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oid sha256:4781ead9e45ab291143ffe9521b74c54d1526ac56a4186fee32caafcc4f844cf
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size 9316120
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checkpoints/rul/rul_sequence.pt
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version https://git-lfs.github.com/spec/v1
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oid sha256:d3cc35c04fd9a8066e24a19cc86baf55985ada7700aab5b751b524686c5badfb
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size 2910535
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