Passive RFID sensor systems for crack detection &amp; characterization

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

doi:10.1016/j.ndteint.2016.11.002

Cited by 60 publications

(34 citation statements)

References 60 publications

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“…The crack changes the induction behavior of the metallic materials. on-object antenna impedance can achieve both maximum radiation and chip impedance matching due to power and frequency sweeping [1] as shown in equivalent circuit Fig. 2.…”

Section: A Rfid Tag Signal Capturing Principlementioning

confidence: 99%

“…The growth of the crack leads to decay system performance or to complete damage of the material which it may cause a severe disaster if it is not detected in earlier time. Health monitoring and non-destructive testing (NDT) systems were emerged to give a real-time report of the monitored system without disturbance of the system operation [1]. Radio frequency identification (RFID) system provides an alternative solution for wireless sensing and real-time health monitoring.…”

Section: Introductionmentioning

confidence: 99%

“…The challenges of using on metal mounted UHF RFID tag for defect sense, rely on the change of the tag antenna specification due to the change of the tagged object material. The use of tag antenna sensing capability is divided into two categories direct and indirect measurement strategies [1] [2]. The direct strategy may include tag turn on power [5], backscattered power [6], and phase [7].…”

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: A Rfid Tag Signal Capturing Principlementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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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“…Structural health monitoring (SHM) technique uses permanently installed sensor for online inspection of the overall health status of the structure, which can improve the safety and reliability of structures, reduce maintenance costs, avoid failures and provide failure warnings [3,4]. Among the various technologies explored for SHM, the Lamb wave has shown great potential because it is sensitive to various damages over long distances [5,6].…”

Section: Introductionmentioning

confidence: 99%

An Aircraft Pallet Damage Monitoring Method Based on Damage Subarea Identification and Probability-Based Diagnostic Imaging

Liu

Yue

et al. 2019

Journal of Advanced Transportation

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To improve the safety and economy of aircraft pallet use, an aircraft pallet damage monitoring method based on damage subarea identification and probability-based diagnostic imaging is proposed. In the proposed method, first, the large aircraft pallet monitoring area is divided into rectangular subareas, and a piezoelectric transducer sensor is pasted on each vertex of the rectangular subarea that is used to excitation and sensing the Lamb wave. Second, the damage subarea is identified according to the diagonal damage indexes. Third, the damage position in the damage subarea is calculated using the probability-based diagnostic imaging method and coordinate probability weighted algorithm. Finally, the aircraft pallet damage can be localized based on the damage subarea position. Frequency selection and damage simulation study results show that the Lamb wave is sensitive to aircraft pallet damage whose centre frequency ranges from 50 kHz to 150 kHz, and the damage index of a steel ball is less than that of all real aircraft pallet damage from 95 kHz to 125 kHz. The verification results show that the proposed method can locate aircraft pallet damage with an error of less than 2 cm.

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“…Depending on the position of the crack orientation relative to the antenna, the sensor has a positive or negative coefficient in the feature of resonant frequency shift. Regardless the resolution is improved with scale down of wavelength as frequency increases, large crack depth may not be identified using a proximity coupling sensing mechanism because of the decrease in penetration depth [13].…”

Section: Introductionmentioning

confidence: 99%

Feature Extraction for Robust Crack Monitoring Using Passive Wireless RFID Antenna Sensors

et al. 2018

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Radio frequency identification (RFID) tag antenna based passive wireless sensors are receiving increasing attentions for structural health monitoring (SHM) in large-scale infrastructure. For permanently-installed monitoring, robustness to measurement variation including environmental conditions is a practical issue. This paper retrospects the communication principle of magnetic resonant coupling (MRC) for low frequency (LF) passive wireless RFID antenna sensors. The influence of communication is uncovered and essentially separated from sensing through two steps: sweep (source) frequency to capture the system behavior, i. e., resonance frequency range; multiple feature extraction, fusion, and selection in conjunction with normalization for the selected time-domain feature of peak to peak (P2P). By this way, the robustness of the low-cost RFID sensing system is enhanced. The proposed method is validated by the case study in open crack detection and characterization under varied measurement conditions.

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Passive RFID sensor systems for crack detection & characterization

Cited by 60 publications

References 60 publications

Passive UHF RFID Tag as a Sensor for Crack Depths

Passive UHF RFID Tag as a Sensor for Crack Depths

An Aircraft Pallet Damage Monitoring Method Based on Damage Subarea Identification and Probability-Based Diagnostic Imaging

Feature Extraction for Robust Crack Monitoring Using Passive Wireless RFID Antenna Sensors

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