Identification and characterisation of steel corrosion using passive high frequency RFID sensors |
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| Affiliation: | 1. School of Electronic and Information Engineering, Fuqing Branch of Fujian Normal University, Fuqing 350300, PR China;2. Department of Civil and Architectural Engineering, Changsha University, Changsha 410022, PR China;3. College of Electrical and Information Engineering, Hunan University, Changsha 410082, PR China;4. School of Electrical and Electronic Engineering, Newcastle University, Newcastle upon Tyne NE1 7RU, United Kingdom;1. Università degli Studi di Cassino e del Lazio Meridionale, Dipartimento di Ingegneria Elettrica e dell’Informazione, Via G. Di Biasio 43, 03043 Cassino, FR, Italy;2. University of Perugia, Dipartimento di Ingegneria, Loc. Pentima Bassa 4, 05100 Terni, Italy;1. School of Mechanical Engineering, Jiangnan University, Wuxi 214122, China;2. The Key Laboratory for Advanced Food Manufacturing Equipment Technology of Jiangsu Province, Wuxi 214122, China;3. College of Electrical and Information Engineering, Hunan University, Changsha 410082, China;1. Electrical and Computer Systems Engineering Department, Monash University, VIC, Australia;2. Department of Advanced Science and Chemistry, Waseda University, Tokyo, Japan;1. Univ Brest, Lab-STICC, CNRS, UMR 6285, F-29200 Brest, France;2. Institut de la Corrosion, 220 rue Pierre Rivoalon, 29200 Brest, France |
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| Abstract: | High frequency RFID sensors are attractive in diverse applications where sensor performance is required at a low cost and dimension restriction. An approach adapting commercial passive 13.56 MHz RFID tags has been developed for sensing corrosion stage. This investigation includes balance of sensing and positioning of RFID sensors for corrosion detection by analysing real and imaginary parts of the complex impedance. With passive HF RFID sensors, real part and imaginary part of complex impedance have been extracted from the reader coil with VNA (vector network analyser) and delivering a unique capability for corrosion sensing with different atmospheric exposure time steel samples (1 month, 6 months, 10 months and 12 months). With different positioning (5–25 mm), features extraction based on the complex impedance with PCA (principal component analysis) has been designed for position-independent corrosion evaluation. |
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| Keywords: | Steel corrosion Passive RFID High frequency Complex impedance PCA |
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