Towards Transparent Operations and Sustainment: A Conceptual Framework for Causal Interpretable Machine Learning Models for System Health Prognostics and Maintenance

Author:

Shefa Jannatul,Topcu Taylan G.

Publisher

Springer Nature Switzerland

Reference76 articles.

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3. Alomari, Y., Andó, M., & Baptista, M. L. (2023). Advancing aircraft engine RUL predictions: An interpretable integrated approach of feature engineering and aggregated feature importance. Scientific Reports, 13(1), 13466.

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