Title :
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
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;
Conference_Titel :
System Theory, 2009. SSST 2009. 41st Southeastern Symposium on
Conference_Location :
Tullahoma, TN
Print_ISBN :
978-1-4244-3324-7
Electronic_ISBN :
0094-2898
DOI :
10.1109/SSST.2009.4806846
