Codes & Datasets

Codes

Battery Digital Twin:
Publication: A Comprehensive Review of Digital Twin – Part 2: Roles of Uncertainty Quantification and Optimization, a Battery Digital Twin, and Perspectives
Codes and descriptions are available on GitHub.

Battery Early Capacity-Trajectory Prediction:
Publication: Empirical Capacity Fade Knowledge-Augmented End-to-end Learning for Battery Early Capacity-Trajectory Prediction (under review)
Codes and descriptions are available on GitHub.

Bearing Fault Diagnostics:
Publication: A Physics-Informed Feature Weighting Method for Bearing Fault Diagnostics
Codes and descriptions are available on GitHub.

Bearing Prognostics with LSTM:
Publication: Ensembles of Probabilistic LSTM Predictors and Correctors for Bearing Prognostics Using Industrial Standards
Codes and descriptions are available on GitHub.

Optimization-based Weighting for Ensemble Prognostics:
Publication: Degradation-Aware Ensemble of Diverse Predictorsfor Remaining Useful Life Prediction
Codes and descriptions are available on GitHub.

Optimized Health Index Construction:
Publication: Health Index Construction with Feature Fusion Optimization for Predictive Maintenance of Physical Systems
Codes and descriptions are available on GitHub.

Datasets

ISU-ILCC NMC/Graphite Battery Aging Dataset
Associated Publication: Predicting Battery Lifetime Under Varying Usage Conditions from Early Aging Data
Available at: https://doi.org/10.25380/iastate.22582234