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.
Authors
- Deepti Maduskar (ORCID: https://orcid.org/0000-0001-6223-9496)
- Divyasheel Sharma (ORCID: https://orcid.org/0000-0002-8479-8675)
- S. C. Modi
Institutions
- ABB (India) (IN)
Publication Details
- Published
- 2024-12-18
- DOI
- https://doi.org/10.1145/3703323.3704273
- Primary Topic
- Fault Detection and Control Systems
- Type
- article
- Field-Weighted Citation Impact
- 0.00