.png){kind=icon}
.png){kind=icon}
Return
Non-iterative imaging method for experimental data inversion in eddy current tomography
.png){kind=icon}
PRE
AI
DOI：10.1016/j.ndteint.2011.11.013.png)
.png){kind=icon}
Original request for help.png){kind=icon}
Share.png){kind=icon}
Save
Abstract
En 中文
In eddy current tomography the conductivity profile of conductive materials is reconstructed through the inversion of eddy current data (ECT). The state of the art of imaging methods in ECT data inversion is represented by iterative methods, the drawbacks of which are their high computational cost and the risk of becoming trapped in false solutions (local minima). In this paper we propose the 'monotonicity imaging method', a fast non-iterative algorithm recently developed by the authors for elliptic problems (such as electrical resistance tomography) and then extended to parabolic problems (such as eddy current tomography). For the first time we experimentally validate the monotonicity imaging method and demonstrate that the inversion can be obtained in real time and without resorting to any direct solver. (C) 2011 Elsevier Ltd. All rights reserved.
Keywords:
Eddy current testing
Non-iterative imaging algorithms
Non-destructive evaluation
Monotonicity
ECT signal inversions
AI Summary
Key information extracted from the uploaded paper, including a brief overview, abstract, background, key highlights, visual analysis, and future outlook.
Journal
N
IF:
4.5
Papers:
3.1K
Citations:
9.0K