Name
Abstract | ||
|---|---|---|
In the electrical capacitance tomography (ECT) systems, the electrodes, and cables may fail to function properly, which will cause several measurements missing. In these cases, image reconstruction can only use the remaining effective measurements. In order to make the reconstructed images close to the image results of the complete measurement set, it is necessary to use the incomplete measurements reasonably. The measurement/data recovery method and image reconstruction can be conducted to obtain the results, which meet the imaging needs under these circumstances. The measurement/data recovery method by using the sensitivity matrix and the regression model of least square support vector machine (LS-SVM) are proposed. The image recovery result is reconstructed by the method of total variation (TV) minimization. The simulations and experiments of gas-solids two-phase measurement are conducted to validate the method. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1109/ACCESS.2019.2915530 | IEEE ACCESS |
Keywords | Field | DocType |
Electrical capacitance tomography (ECT), incomplete measurement set, image reconstruction, measurement/data recovery | Computer science,Electrical engineering,Electrical capacitance tomography,Distributed computing | Journal |
Volume | ISSN | Citations |
7 | 2169-3536 | 0 |
PageRank | References | Authors |
0.34 | 0 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Ziqiang Cui | 1 | 1 | 3.74 |
| Zihan Xia | 2 | 0 | 0.34 |
| Huaxiang Wang | 3 | 81 | 19.60 |