FAST ESTIMATION AND UNCERTAINTY QUANTIFICATION IN ELECTRICAL CAPACITANCE TOMOGRAPHY USING SURROGATE TECHNIQUES |
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| M. Neumayer, D. Watzenig, G. Steiner |
- Abstract:
- The need for uncertainty quantification (UQ) in metrology has seen serious research efforts and is of ever-growing interest in order to quantify the quality of measurement results. This especially holds for indirect measurement problems. Bayesian methods allow a natural and universal access for UQ but become computationally expensive for scenarios with a complex interaction between the unknown quantity x and the raw measurements d. In this paper we present a surrogate approach for fast estimation and UQ of material distributions in the inverse problem of electrical capacitance tomography using a recursive Bayesian estimator.
- Keywords:
- uncertainty quantification, electrical capacitance tomography, surrogate model, recursive Bayesian methods
- Download:
- IMEKO-WC-2012-TC21-O21.pdf
- DOI:
- -
- Event details
- Event name:
- XX IMEKO World Congress
- Title:
Metrology for Green Growth
- Place:
- Busan, REPUBLIC of KOREA
- Time:
- 09 September 2012 - 12 September 2012