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October 26, 2026Open Access

Remaining Useful Life Estimation of Turbofan Engines under Multiple Operational Conditions Using Machine Learning

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Abstract

AbstractPredicting the Remaining Useful Life (RUL) of turbofan jet engines is vital for implementing proactive Condition-Based Maintenance (CBM)...

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Cite This Study

Dishant Tilara (2026) studied this question.

synapsesocial.com/papers/6ae1905bcdb9aa523b818ea3 https://doi.org/10.5281/zenodo.23671229

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Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

1Remaining useful life prediction of turbofan engines using long short-term memory networks2025 · 1 citations
2AI-Driven Predictive Maintenance: Remaining Useful Life Estimation for Turbofan Engines via Ensemble Learning, LSTM, and Uncertainty QuantificationOriginal Research · 2026
3Aircraft Engine Remaining Useful Life Prediction Using Machine Learning2024 · 1 citations
4Remaining useful life prediction for turbofan engines using an attention-based data-driven deep-learning approachOriginal Research · 2025 · 1 citations
5Machine Learning Regression Models for Turbofan Engines: A Comparative Study on Remaining Useful Life Prediction2024

Temporal-sequential modeling for remaining useful life estimation of turbofan engine2026
Predictive Maintenance Strategies for Aero‐Engines Considering Remaining Useful Life Prediction Interval2025
Remaining Useful Life Prediction of Aircraft Turbofan Engine Based on Random Forest Feature Selection and Multi-Layer Perceptron2023

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