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Sensitivity map generation in electrical capacitance tomography using mixed normalization models

Title
Sensitivity map generation in electrical capacitance tomography using mixed normalization models
Author(s)
Kim, Yong SongLee, SeonghunIjaz, Umer ZeeshanKim, Kyung YounChoi, Bong Yeol
DGIST Authors
Kim, Yong SongLee, SeonghunIjaz, Umer ZeeshanKim, Kyung YounChoi, Bong Yeol
Issued Date
2007-07
Type
Article
Article Type
Article
Keywords
Adaptive ModelAdaptive ModelCapacitanceElectric Field EffectsElectrical Capacitance TomographyElectrical Capacitance TomographyFunction EvaluationIMAGE-RECONSTRUCTION ALGORITHMSMathematical ModelsPRINCIPLESSensitivity MapSensitivity MapSensorsThresholding ModelThresholding ModelTomography
ISSN
0957-0233
Abstract
This work is concerned with the generation of sensitivity maps in electrical capacitance tomography based on the concepts of electrical field centre lines. Electrical capacitance tomography systems are normalized at the upper and lower permittivity values for image reconstruction. Conventional normalization assumes the distribution of materials in parallel and results in normalized capacitance as a linear function of measured capacitance. A recent approach is the usage of a series sensor model which results in normalized capacitance as a nonlinear function of measured capacitance. In this study different forms of normalizations are combined with sensitivity maps based on electrical field centre lines and it is shown that a mix of two normalization models improves the reconstruction performance. © 2007 IOP Publishing Ltd.
URI
http://hdl.handle.net/20.500.11750/1709
DOI
10.1088/0957-0233/18/7/040
Publisher
Institute of Physics and the Physical Society
Related Researcher
  • 이성훈 Lee, Seonghun 미래자동차연구부
  • Research Interests Automotive Embedded System
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Appears in Collections:
Division of Automotive Technology 1. Journal Articles

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