Fractional-Order Equivalent Circuit Representation of Kohlrabi Tissue Samples

Loading...
Thumbnail Image

Authors

Van Fleet, Olivia
Conway, Lucy
Herencsár, Norbert
Freeborn, Todd

Advisor

Referee

Mark

Journal Title

Journal ISSN

Volume Title

Publisher

IEEE
Altmetrics

Abstract

In an effort to investigate the electrical impedance properties of kohlrabi (Brassica oleracea var. gongylodes L.) plants, the range/variability of kohlrabi impedance from a collection of 16 similarly sized samples were explored. The impedance data was collected in a bipolar configuration interfacing copper wires into discs of sliced kohlrabi plants. An optimization algorithm was used to fit the collected data to a fractional-order equivalent circuit model. The model used to represent the approximated data consisted of a fractional-order capacitor in series with a parallel CPE-R. The electrical impedance of all samples represented by this model had less than 10% deviation in the band from 40 Hz to 1 MHz. Despite having similar dimensions and electrode configurations (material, insertion depth, spacing), there was a high variability (up to 70%) between fractional-order model parameters of the samples.
In an effort to investigate the electrical impedance properties of kohlrabi (Brassica oleracea var. gongylodes L.) plants, the range/variability of kohlrabi impedance from a collection of 16 similarly sized samples were explored. The impedance data was collected in a bipolar configuration interfacing copper wires into discs of sliced kohlrabi plants. An optimization algorithm was used to fit the collected data to a fractional-order equivalent circuit model. The model used to represent the approximated data consisted of a fractional-order capacitor in series with a parallel CPE-R. The electrical impedance of all samples represented by this model had less than 10% deviation in the band from 40 Hz to 1 MHz. Despite having similar dimensions and electrode configurations (material, insertion depth, spacing), there was a high variability (up to 70%) between fractional-order model parameters of the samples.

Description

Citation

Proceedings of the IEEE Southeastcon 2024. 2024, p. 1034-1039.
https://ieeexplore.ieee.org/document/10500242

Document type

Peer-reviewed

Document version

Accepted version

Date of access to the full text

Language of document

en

Study field

Comittee

Date of acceptance

Defence

Result of defence

Endorsement

Review

Supplemented By

Referenced By

Citace PRO