SHAP-based insights for aerospace PHM: Temporal feature importance, dependencies, robustness, and interaction analysis
This research addresses a critical challenge in aerospace engineering: enhancing the interpretability of machine learning models for predictive maintenance. By integrating SHapley Additive exPlanations (SHAP), our approach decodes the relative importance of sensor-derived features, providing an anal...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2024-03-01
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| Series: | Results in Engineering |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2590123024000872 |