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1 - Advancing Aircraft Engine RUL Predictions An Interpretable Integrated Approach of Feature Engineering and Aggregated Feature Importance by rullyrchmt is a document available to read on EtoBox.

This study presents an integrated approach for predicting the remaining useful life (RUL) of aircraft engines using advanced feature engineering, dimensionality reduction, and machine learning models. A novel aggregated feature importances with cross-validation (AFICv) technique is introduced to enhance model interpretability and performance, achieving competitive results with fewer features. The methodology is validated using the C-MAPSS dataset, demonstrating the effectiveness of the proposed techniques i

Author

rullyrchmt

Language

EN