Sph3inxz/Diagnostic-Graph-PDM

Diagnostic Graph PDM — Best C-MAPSS Checkpoints

Best observed checkpoints from the Diagnostic-Graph-PDM stack: Graph-JEPA pretrain → Energy Critic → TCN+Transformer RUL with energy fusion.

Files

File	Role	Selection criterion
checkpoints/jepa/jepa_epoch0003.pt	Graph-JEPA encoder (FD123 + unlabeled FD004)	Epoch 3 val loss 0.0025
checkpoints/critic/vulcan_epoch0030.pt	Energy Critic + encoder (JEPA-init)	Best saved FD1234 critic (~0.97 val F1)
checkpoints/rul/rul_sequence.pt	TCN+Transformer RUL (FD001)	Best val RMSE epoch 54 — test RMSE 12.485, NASA 294.6

See checkpoints.json for paths and metrics.

Usage

pip install torch typer omegaconf rich
git clone https://github.com/Sph3inz/Diagnostic-Graph-PDM.git
cd Diagnostic-Graph-PDM
pip install -e .

hf download Sph3inxz/Diagnostic-Graph-PDM --local-dir ./hf_ckpt

# Scan / localize (critic)
python -m vulcan scan data/cmapss_fd001.graphs.jsonl `
  --checkpoint hf_ckpt/checkpoints/critic/vulcan_epoch0030.pt --format summary

# RUL eval
python eval_ckpt.py hf_ckpt/checkpoints/rul/rul_sequence.pt

Train critic from JEPA:

python -m vulcan train --config configs/critic_cmapss_fd1234_jepa.yaml `
  --resume-from hf_ckpt/checkpoints/jepa/jepa_epoch0003.pt

Citation

If you use these weights, link the GitHub repo: https://github.com/Sph3inz/Diagnostic-Graph-PDM