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Chipless RFID sensor for corrosion characterization based on frequency selective surface and feature fusion

Lookup NU author(s): Adi Marindra, Professor Gui Yun TianORCiD



This is the authors' accepted manuscript of an article that has been published in its final definitive form by IOP Publishing Ltd, 2020.

For re-use rights please refer to the publisher's terms and conditions.


© 2020 IOP Publishing Ltd. Chipless RFID sensors attract attention to structural health monitoring (SHM) because of its advantages of being low-cost, wireless, passive, and having multiple resonances for sensing. Its application for corrosion sensing, however, receives little attention and faces challenges in terms of sensitivity and reliability. This paper proposes a chipless RFID sensor for corrosion characterization based on frequency selective surface (FSS) and feature fusion. An FSS pattern on a substrate is designed to generate three resonances within 2-6 GHz. The ability of the FSS to characterize corrosion thickness was simulated and validated in the experiments. The experimental results using dedicated corrosion undercoating samples show that the FSS based chipless RFID sensor can be used to characterize corrosion, where the three resonance frequency features provide sensitivity and consistent monotonic relations to the corrosion progression. Furthermore, feature fusion using simple sum and confidence weighted averaging (CWA) can enhance the sensitivity and reliability of the sensor. With the low-profile and printability of the sensor, this work paves the way for smart coatings for corrosion sensing and monitoring on metallic structures.

Publication metadata

Author(s): Marindra AMJ, Tian GY

Publication type: Article

Publication status: Published

Journal: Smart Materials and Structures

Year: 2020

Volume: 29

Issue: 12

Print publication date: 01/12/2020

Online publication date: 28/10/2020

Acceptance date: 11/10/2020

Date deposited: 06/01/2021

ISSN (print): 0964-1726

ISSN (electronic): 1361-665X

Publisher: IOP Publishing Ltd


DOI: 10.1088/1361-665X/abbff4


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