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Balancing Interpretability and Uncertainty in Prognostic Models: A TOPSIS-Based Comparative Analysis of N-CMAPSS DS02 Methods
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: Prognostic models are vital for predictive maintenance, enabling accurate prediction of remaining useful life (RUL) in complex systems. However, balancing model interpretability, accuracy, and robust uncertainty quantification ...