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2018 | 133 | 3 | 701-703
Article title

Discrete Inverse Transformation for Eddy Current Tomography

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EN
Abstracts
EN
Paper presents results of a discrete inverse tomography transformation on exemplary results from eddy current tomography setup. Eddy current phenomena is highly non-linear and measurement results are ill-posed function of distribution of physical properties of the matter (mostly electrical conductivity and magnetic permeability). Thus the inverse transformation (reconstruction of objects shape) is based on an optimization algorithm in which objects model is described as a discrete array. With the usage of Finite Element Method (FEM) tomography measurement process is reconstructed and modelling results are compared with the measurement.
Keywords
Contributors
author
  • Institute of Metrology and Biomedical Engineering, Warsaw University of Technology, Boboli 8, 02-525, Warsaw, Poland
author
  • Institute of Metrology and Biomedical Engineering, Warsaw University of Technology, Boboli 8, 02-525, Warsaw, Poland
author
  • CSC - IT Center for Science, Keilaranta 14,FI-20101 Espoo, Finland
  • CSC - IT Center for Science, Keilaranta 14,FI-20101 Espoo, Finland
author
  • Industrial Research Institute for Automation and Measurements PIAP, Al. Jerozolimskie 202, 02-486, Warsaw, Poland
author
  • Institute of Metrology and Biomedical Engineering, Warsaw University of Technology, Boboli 8, 02-525, Warsaw, Poland
References
  • [1] J. Salach, in: Advances in Intelligent Systems and Computing v. 317, Eds. J. Awrejcewicz, R. Szewczyk, M. Trojnacki, M. Kaliczyńska, Springer, Berlin 2015, p. 373, doi: 10.1007/978-3-319-10990-9_35
  • [2] D. Premel, A. Mohammad-Djafari, IIEEE T. Magn. 31, 2000 (1995), doi: 10.1109/20.376435
  • [2] F. Natterer, The Mathematics of Computerized Tomography, John Wiley & Sons, New York 1986, doi: 10.1137/1.9780898719284
  • [3] R. Szewczyk, J. Salach, J. Ruokolainen, P. Råback, K. Stefko, M. Nowicki in: Advances in Intelligent Systems and Computing, v. 352, Eds. R. Szewczyk, C. Zieliński, M. Kaliczyńska Springer, Berlin 2015, p. 219, doi: 10.1007/978-3-319-15835-8_24
  • [4] M. Soleimani, W.R.B. Lionheart, IEEE T. Med. Imaging, 25, 1521 (2006), doi: 10.1109/TMI.2006.884196
  • [5] M. Soleimani, W. Lionheart, A. Peyton, X. Ma in: Proceedings of the 3rd World Congress on Industrial Process Tomography, 2003, p. 252
  • [6] M. Soleimani, C. N. Mitchell, R. Banasiak, R. Wajman, A. Adler, Prog. Electromagn. Res. 90, 171 (2009), doi: 10.2528/pier09010202
  • [7] A. Bossavit, IEE Proc. A, Phys. Sci., Meas. Instr., Manag. Edu. 135, 493 (1988), doi: 10.1049/ip-a-1.1988.0077
  • [8] P. Nowak, R. Szewczyk, R. Ugodziński, P. Bazydło, in: Automation 2017 Innovations in Automation Robotics and Measurement Techniques, Eds. R. Szewczyk, C. Zieliński, M. Kaliczyńska, Springer, Berlin 2017, p. 481, doi: 10.1007/978-3-319-54042-9_46
  • [9] P. Nowak, R. Szewczyk, in: PROCEEDINGS of the 21st International Conference on Applied Physics of Condensed Matter APCOM 2015, Eds. J. Vajda, I. Jamnicky, Bratislava 2015, p. 198
Document Type
Publication order reference
Identifiers
YADDA identifier
bwmeta1.element.bwnjournal-article-appv133n3p111kz
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