Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
6956629 | Mechanical Systems and Signal Processing | 2013 | 13 Pages |
Abstract
The work is numerical in nature and involves the solution of stochastic inverse problems, in a Bayesian setting, in order to quantify uncertainty in modeling parameter estimation describing hidden corrosion (i.e. corrosion that cannot be directly visualized). A non-contact approach, involving a digital infrared camera, is described. Additionally, the paper also describes a means for employing so-called Gappy Proper Orthogonal Decomposition (Gappy-POD) in permitting a tiny number of contact temperature sensors to be applied for characterization of the same hidden corrosion.
Related Topics
Physical Sciences and Engineering
Computer Science
Signal Processing
Authors
C.J. Earls,