IQ signal based RFID sensors for defect detection and characterisation

Zhao, Aobo; Tian, Gui Yun; Zhang, Jun

doi:10.1016/j.sna.2017.11.008

Cited by 27 publications

(14 citation statements)

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“…The skewness feature is used to test the bias of the PPFE readings for each one of the test samples. The main role of this statistical feature is to evaluate asymmetry of the data [4]. For a set of data X, the skewness feature is given by Eq.…”

Section: Skewness Feature Extraction For Ppfementioning

confidence: 99%

“…Later UHF RFID is the most popular used when it is compared with LF and HF RFID systems because of its far distance reading range up to ten meters [3], and it could be deployed to form a monitoring WSNs. The disadvantage of using UHF RFID signals it cannot penetrate to detect defect inside material while other frequency ranges of RFID were used for that purpose [4].…”

Section: Introductionmentioning

confidence: 99%

“…The direct strategy may include tag turn on power [5], backscattered power [6], and phase [7]. The indirect strategy may include radar cross section (RCS) [8], an analog identifier (AID) [3], and an inphase/quadrature IQ signal based sensing [4]. The indirect measurement strategy may need additional hardware for investigation or need more information about the tag antenna specifications like antenna impedance, chip impedance, and chip activation power.…”

Section: Introductionmentioning

confidence: 99%

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Passive UHF RFID Tag as a Sensor for Crack Depths

et al. 2018

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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. Technology of China. His main research interests include electromagnetic sensors, sensor array and sensor network, electromagnetic non-destructive evaluation, advanced signal processing and integrative systems and applications. He has coordinated several research projects from the Engineering and Physical Sciences Research Council (EPSRC), Royal Academy of Engineering and FP7. Also, he has good collaboration with leading industrial companies such as Airbus, Rolls Royce, BP, nPower, Network Rail and TWI among others.

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Section: Skewness Feature Extraction For Ppfementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Passive UHF RFID Tag as a Sensor for Crack Depths

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“…The chipped passive wireless RFID sensors have gained much attention in both academies and industries for potential SHM [19,20]. Low frequency (LF) and high frequency (HF) RFID sensors have been used previously to characterize the steel corrosion progression [21][22][23][24] and the read range was later improved by the usage of 3D ultra-high frequency (UHF) band RFID [25,26]. However, communication and sensing in LF/HF RFID system is itself antithetical where the former is based on magnetic resonance coupling (MRC) and the latter relies on Temperature Independent Defect Monitoring using Passive Wireless RFID Sensing System magnetic inductive coupling.…”

Section: Introductionmentioning

confidence: 99%

Temperature Independent Defect Monitoring Using Passive Wireless RFID Sensing System

et al. 2019

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A significant requirement of low-cost sensing systems for defect detection is essential to bridge the gap of non-destructive testing & evaluation (NDT&E) and structural health monitoring (SHM). In practical situation, the temperature variation will be unknown in a priori and hence will give rise to uncertainty and unreliability in the defect detection. This paper demonstrates the potential use of low frequency (LF) RFID tag antenna based wireless sensors to characterise corrosion and crack progression in high-temperature conditions for potential structural monitoring. Consideration of the parasitic parameters which depend on the temperature variation is presented. The key factors that influences the sensing accuracy with regards to different materials due to inhomogeneity are presented. A cost-effective self-compensation method is proposed by means of a self-swept frequency measurement through selection and fusion of temperature dependent feature near the tag's resonance region. The experimental work validates the effectiveness of the method in temperature compensation and some initial results demonstrate the efficiency of the technique to overcome the inhomogeneity.

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“…Radio frequency identification systems (RFID) [6,7] are another type of wireless system that have been successfully used to track foods and goods. Now, they are widely used in many practical scenarios such as supermarkets and stores [8][9][10][11][12][13][14][15][16][17][18][19][20][21][22][23][24][25]. The main benefit of adopting an RFID system is the long life and low cost, but it requires a close proximity between the reader and tag.…”

Section: Introductionmentioning

confidence: 99%

Development of Environmental Long Range RFID Sensors Based on the Modulated Scattering Technique

Donelli

Manekiya

2018

Electronics

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This work presents the development of a wireless sensor system for environmental monitoring based on the modulated scattering technique (MST). The MST sensor probes are based on the scattering properties of small passive antennas and radiate part of the impinging electromagnetic field generated by an interrogating antenna, which also acquires the backscattered signal as information. The MST probes are able to deliver data without radio frequency front end. They use a simple circuit that alternatively terminates the antenna probe on suitable loads to generate a low modulation signal on the backscattered electromagnetic wave. In this work, the MST sensor system for environmental monitoring has been proposed to obtain the best performance in communication range, load efficiency and power harvesting. The MST sensor has been fabricated and assessed in practical scenarios. The proposed prototype, able to operate in X band at 10 GHz and able to provide a communication range of about 15 m, serves as a proof-of-concept. The acquired measurements demonstrate that the prototype is able to measure accurately and send data without radio frequency front end or bulky wired connection with the same efficiency of standard wireless sensors such as radio frequency identifier (RFID) or wireless sensor networks (WSN).

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IQ signal based RFID sensors for defect detection and characterisation

Abstract: This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International licence Newcastle University ePrints-eprint.ncl.ac.uk Zhao A, Tian GY, Zhang J. IQ signal based RFID sensors for defect detection and characterisation.

Cited by 27 publications

References 17 publications

Passive UHF RFID Tag as a Sensor for Crack Depths

Passive UHF RFID Tag as a Sensor for Crack Depths

Temperature Independent Defect Monitoring Using Passive Wireless RFID Sensing System

Development of Environmental Long Range RFID Sensors Based on the Modulated Scattering Technique

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