UQ4Pro: A Demonstration Tool for Uncertainty Quantification in Process Industry Applications

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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Published
2024-12-18
DOI
https://doi.org/10.1145/3703323.3704273
Primary Topic
Fault Detection and Control Systems
Type
article
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article

UQ4Pro: A Demonstration Tool for Uncertainty Quantification in Process Industry Applications

Deepti Maduskar, Divyasheel Sharma, S. C. Modi
Fault Detection and Control Systems
article

UQ4Pro: A Demonstration Tool for Uncertainty Quantification in Process Industry Applications

Deepti Maduskar, Divyasheel Sharma, S. C. Modi
article en

Abstract

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.

ABB (India) (IN)
Industry, innovation and infrastructure
Openalex Percentile: Top 62%
Fault Detection and Control Systems
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