Vision-based tomographic reconstruction of emissivity distribution in asymmetric thermal plasma

¹ School of Energy and Power Engineering, Nanjing University of Science and Technology Nanjing 210094, PRC
² Department of Electrical Engineering and Electronics, University of Liverpool - Liverpool, L69 3GJ, UK, EU

^(a) dongliu@njust.edu.cn
^(b) xin.tu@liv.ac.uk

Received: 5 June 2013
Accepted: 1 August 2013

Abstract

We report an original on-line optical diagnostics technique for the vision-based tomographic reconstruction of emissivity distribution in asymmetric thermal plasma using CCD cameras. The least-square QR decomposition (LSQR) method has been employed to solve the inverse ill-posed problem of the reconstruction efficiently. A numerical case is used for validating the diagnostics technique, and effects of different CCD camera combinations and measurement errors on the reconstruction performance are examined. Results show that the emissivity distribution of thermal plasma can be reconstructed well with a short reconstruction time for different noisy input data, proving the feasibility and the on-line ability of this technique to characterize the asymmetric plasma medium.