Toggle Main Menu Toggle Search

Open Access padlockePrints

Passive UHF RFID tag as a sensor for crack depths

Lookup NU author(s): Professor Gui Yun TianORCiD, Professor Bin Gao



This is the authors' accepted manuscript of an article that has been published in its final definitive form by IEEE, 2018.

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


IEEE The use of UHF RFID passive tags for defect detection is a promising application in structural health monitoring. However, it’s a challenging task while most related information to tag antenna design is not available as well it suffers from the interference effect on wireless measurements. In this article, we investigated and developed a new technique for crack depth sensing by using a passive UHF RFID tag as a sensor which interrogated by thingmagic M6e platform. Wireless power transfer WPT level and the frequency sweeping are used to match between tag impedance and metal induction effect. The distance between the tag and reader is adjusted at 30cm which can achieve high quality factor. As a result, the tag backscatter signal become rich with maximum peak components. The proposed technique called power peaks feature extraction (PPFE) which is used to detect the artificial crack depth on the surface of the stainless steel and ferromagnetic samples. Skewness is applied on PPFE to offer a direct approximation procedure for the crack depth. A linear relationship of skewness achieves high accuracy result with a maximum estimation error of 0.1 mm for stainless steel sample, the technique is validated and compared with the frequency domain result, and it achieves all most the same accuracy for the stainless steel sample.

Publication metadata

Author(s): Omer M, Tian GY, Gao B, Su D

Publication type: Article

Publication status: Published

Journal: IEEE Sensors Journal

Year: 2018

Volume: 18

Issue: 23

Pages: 9867 - 9873

Print publication date: 01/12/2018

Online publication date: 26/09/2018

Acceptance date: 02/04/2018

Date deposited: 15/10/2018

ISSN (print): 1530-437X

ISSN (electronic): 1558-1748

Publisher: IEEE


DOI: 10.1109/JSEN.2018.2872174


Altmetrics provided by Altmetric