How to Be Certain: Using Known Relations and Trust Discount to Determine Confidence About the Degree of Uncertainty

Research output: Chapter in book/report/conference proceedingConference contributionResearchpeer review

Authors

Research Organisations

External Research Organisations

  • University of Liverpool
  • Tongji University
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Details

Original languageEnglish
Title of host publicationProceedings of the 11th European Workshop on Structural Health Monitoring
Publication statusPublished - Jul 2024
Event11th European Workshop on Structural Health Monitoring, EWSHM 2024 - Potsdam, Germany
Duration: 10 Jun 202413 Jun 2024

Abstract

Ensuring certainty in the rapidly evolving digital twin environments amidst inherent uncertainty is paramount in decision-making for critical engineering systems. This paper presents a novel approach for quantifying and tracking confidence levels within a network of sensors and structural models, specifically addressing uncertainty arising from faulty sensors. By leveraging known relations and implementing a trust discount mechanism, our methodology offers a fundamental framework for navigating in the presence of uncertainties. A quasi-real-time case study on a cantilever beam model is simulated to demonstrate the efficacy of the proposed approach. We showcase the ability of our method to accurately assess and adapt to varying levels of uncertainty introduced by faulty sensors. Our findings highlight the importance of incorporating trust dynamics and established relationships within digital twin environments to achieve improved certainty despite imperfect data. This research contributes to the theoretical underpinnings of digital twin technology and offers practical insights for its application across diverse domains.

Keywords

    Confidence, Digital Twins, Trust, Uncertainty Quantification

ASJC Scopus subject areas

Cite this

How to Be Certain: Using Known Relations and Trust Discount to Determine Confidence About the Degree of Uncertainty. / Winnewisser, Niklas R.; Potthast, Thomas; Mett, Felix et al.
Proceedings of the 11th European Workshop on Structural Health Monitoring . 2024.

Research output: Chapter in book/report/conference proceedingConference contributionResearchpeer review

Winnewisser, NR, Potthast, T, Mett, F, Perin, A, Broggi, M & Beer, M 2024, How to Be Certain: Using Known Relations and Trust Discount to Determine Confidence About the Degree of Uncertainty. in Proceedings of the 11th European Workshop on Structural Health Monitoring . 11th European Workshop on Structural Health Monitoring, EWSHM 2024, Potsdam, Germany, 10 Jun 2024. https://doi.org/10.58286/29669
Winnewisser, N. R., Potthast, T., Mett, F., Perin, A., Broggi, M., & Beer, M. (2024). How to Be Certain: Using Known Relations and Trust Discount to Determine Confidence About the Degree of Uncertainty. In Proceedings of the 11th European Workshop on Structural Health Monitoring https://doi.org/10.58286/29669
Winnewisser NR, Potthast T, Mett F, Perin A, Broggi M, Beer M. How to Be Certain: Using Known Relations and Trust Discount to Determine Confidence About the Degree of Uncertainty. In Proceedings of the 11th European Workshop on Structural Health Monitoring . 2024 doi: 10.58286/29669
Winnewisser, Niklas R. ; Potthast, Thomas ; Mett, Felix et al. / How to Be Certain : Using Known Relations and Trust Discount to Determine Confidence About the Degree of Uncertainty. Proceedings of the 11th European Workshop on Structural Health Monitoring . 2024.
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