Detail publikace

Effective defect identifications in honeycombs

Originální název

Effective defect identifications in honeycombs

Anglický název

Effective defect identifications in honeycombs

Jazyk

en

Originální abstrakt

The image reconstruction problem based on Electrical Impedance Tomography (EIT) is an ill-posed inverse problem of finding such conductivity distribution that minimizes some optimisation criterion, which can be given by a suitable primal objective function. This paper describes new algorithms for the reconstruction of the surface conductivity distribution, which are based on stochastic methods to be used for the acquirement of more accurate reconstruction results and stable solution. The proposed methods are expected to non-destructive test of materials. There are shown examples of the identification of voids or cracks in special structures called honeycombs. Instead of the experimental data we used the phantom evaluated voltage values based on the application of finite element method. The results obtained by this new approach are compared with results from the known deterministic approach to the same image reconstruction.

Anglický abstrakt

The image reconstruction problem based on Electrical Impedance Tomography (EIT) is an ill-posed inverse problem of finding such conductivity distribution that minimizes some optimisation criterion, which can be given by a suitable primal objective function. This paper describes new algorithms for the reconstruction of the surface conductivity distribution, which are based on stochastic methods to be used for the acquirement of more accurate reconstruction results and stable solution. The proposed methods are expected to non-destructive test of materials. There are shown examples of the identification of voids or cracks in special structures called honeycombs. Instead of the experimental data we used the phantom evaluated voltage values based on the application of finite element method. The results obtained by this new approach are compared with results from the known deterministic approach to the same image reconstruction.

BibTex


@article{BUT47950,
  author="Jarmila {Dědková}",
  title="Effective defect identifications in honeycombs",
  annote="The image reconstruction problem based on Electrical Impedance Tomography (EIT) is an ill-posed inverse problem of finding such conductivity distribution that minimizes some optimisation criterion, which can be given by a suitable primal objective function. This paper describes new algorithms for the reconstruction of the surface conductivity distribution, which are based on stochastic methods to be used for the acquirement of more accurate reconstruction results and stable solution. The proposed methods are expected to non-destructive test of materials. There are shown examples of the identification of voids or cracks in special structures called honeycombs. Instead of the experimental data we used the phantom evaluated voltage values based on the application of finite element method. The results obtained by this new approach are compared with results from the known deterministic approach to the same image reconstruction.",
  address="University of Žilina",
  chapter="47950",
  institution="University of Žilina",
  journal="Advances in Electrical and Electronic Engineering",
  number="7",
  volume="08",
  year="2008",
  month="may",
  pages="301--304",
  publisher="University of Žilina",
  type="journal article - other"
}