Related Publication and Citation
The conference paper associated with this code is available at the following DOI: https://doi.org/10.1109/ICCKE68588.2025.11273807
If you find this repository useful for your research or practical work, please cite the paper as follows:
S. Shafaati and J. Mohammadzadeh, “TriFuse-PdM: High-Fidelity Machine Failure Prediction Using Hybrid Resampling and Model Calibration,” in 2025 15th International Conference on Computer and Knowledge Engineering (ICCKE), Mashhad, Iran, 2025, pp. 1–5, doi: 10.1109/ICCKE68588.2025.11273807.
Keywords: Predictive Maintenance (PdM), Machine Failure Prediction, Class Imbalance, Ensemble Learning, Random Forests, Hybrid Resampling (SMOTE–Tomek), Model Calibration, Uncertainty, SHAP Explainability.
A full accessible version of the paper, along with the presentation slides, is also available on my ResearchGate profile.