Miguel A. de C. Michalski

Machine Learning for Electric Submersible Pump Fault Diagnosis: Physical Interpretability, Cross-Unit Generalization, and Evaluation Pitfalls

Machine learning (ML) techniques have been widely applied to fault detection and diagnosis in Electric Submersible Pumps (ESPs), often reporting high predictive accuracy. However, high performance does not necessarily imply that learned decision boundaries reflect physically meaningful fault mechanisms. This study dist...