We demonstrate an Uncertainty Quantification tool based on conformal prediction for process industry applications.The tool generates uncertainty estimates as prediction-sets for classification tasks such as those used in fault classification, detection, and severity estimation.The conformal prediction framework for uncertainty estimates provides a finite-sample guarantee of accuracy and is model and data-distribution agnostic.The essence of using conformal prediction lies in the choice of a conformal score function.Our tool, UQ4Pro, incorporates multiple such score functions and provisions the user to select a score function based on their specific industrial process context.
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Maduskar et al. (2024) studied this question.
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