Identification of Defects in Materials with Surface Conductivity Distribution
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F08%3APU73838" target="_blank" >RIV/00216305:26220/08:PU73838 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Identification of Defects in Materials with Surface Conductivity Distribution
Original language description
The images of the electrical surface conductivity distribution can be reconstructed from the voltage measurement captured on the boundaries of an object. This very well known technique is named Electrical Impedance Tomography. The image reconstruction problem is an ill-posed inverse problem of finding such conductivity that minimizes some optimisationcriterion, which can be given by a suitable primal objective function. This paper describes new algorithms 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. It will be shown examples of the identi?cation of voids or cracks in special structures called honeycombs. Instead of the experiments we used phantom evaluated voltage values based on the application of ?nite element method. The advantages of a new approach are compared with properties of a deterministic approach to the same image reconstructions
Czech name
Identification of Defects in Materials with Surface Conductivity Distribution
Czech description
The images of the electrical surface conductivity distribution can be reconstructed from the voltage measurement captured on the boundaries of an object. This very well known technique is named Electrical Impedance Tomography. The image reconstruction problem is an ill-posed inverse problem of finding such conductivity that minimizes some optimisationcriterion, which can be given by a suitable primal objective function. This paper describes new algorithms 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. It will be shown examples of the identi?cation of voids or cracks in special structures called honeycombs. Instead of the experiments we used phantom evaluated voltage values based on the application of ?nite element method. The advantages of a new approach are compared with properties of a deterministic approach to the same image reconstructions
Classification
Type
J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)
CEP classification
JA - Electronics and optoelectronics
OECD FORD branch
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Result continuities
Project
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Continuities
Z - Vyzkumny zamer (s odkazem do CEZ)
Others
Publication year
2008
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
PIERS ONLINE
ISSN
1931-7360
e-ISSN
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Volume of the periodical
4
Issue of the periodical within the volume
1
Country of publishing house
US - UNITED STATES
Number of pages
5
Pages from-to
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UT code for WoS article
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EID of the result in the Scopus database
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