A confidence prediction system for metal fill visualization using Electrical Capacitance Tomography

Author

Smith, A.R. ; Abdelrahman, M.A. ; Deabes, W.A.

Author_Institution

Comput. Eng. Dept., Univ. of Southern Mississippi, Hattiesburg, MS

fYear

2009

fDate

15-17 March 2009

Firstpage

122

Lastpage

126

Abstract

Electrical capacitance tomography systems have gained increasing acceptance, though there are some problems associated with ECT systems. The mathematical complexity of image reconstruction makes visualization of the metal fill difficult. This paper focuses on the design and analysis of a system that uses information from the electrical capacitance tomography system to produce confidence values for the metal distribution that is being monitored. The confidence values produced by the system were found to be 84% reliable.

Keywords

electric sensing devices; image reconstruction; mathematical analysis; tomography; ECT systems; confidence prediction system; electrical capacitance tomography; image reconstruction; mathematical complexity; metal distribution; metal fill visualization; Capacitance measurement; Detectors; Electrical capacitance tomography; Electrodes; Finite element methods; Image reconstruction; Power engineering and energy; Sensor systems; USA Councils; Visualization; ECT; Image reconstruction; Metal fill;

fLanguage

English

Publisher

ieee

Conference_Titel

System Theory, 2009. SSST 2009. 41st Southeastern Symposium on

Conference_Location

Tullahoma, TN

ISSN

0094-2898

Print_ISBN

978-1-4244-3324-7

Electronic_ISBN

0094-2898

Type

conf

DOI

10.1109/SSST.2009.4806846

Filename

4806846