2014
DOI: 10.1109/tap.2014.2360553
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Wireless Crack Monitoring by Stationary Phase Measurements from Coupled RFID Tags

Abstract: The possibility to wirelessly monitor the state and the evolution of cracks is of increasing interest in emerging structural health monitoring systems. A simple and effective measurement method considers the placement of two passive radio frequency identification (RFID) antennas on top of the crack, so that the crack's evolution will produce a change of the inter-antenna coupling and in turn of the phase of the backscattered field. An ad-hoc design technique, based onto the coupled-modes physics, permits to ma… Show more

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Cited by 54 publications
(32 citation statements)
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“…If two close RFID tags, strongly coupled with each other, are considered, it is possible to achieve a good variation of the phase of the backscattered field with respect to variation of their mutual distance [17], hence having the chance to turn the RFID couplet into a deformation sensor. However, particular care has to be taken in order to limit the variation of the useful read range of the tags during the sensing process: as a matter of fact, coupling as well as detuning can worsen the power requirements of tags (i.e.…”
Section: A Theoretical Backgroundmentioning
confidence: 99%
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“…If two close RFID tags, strongly coupled with each other, are considered, it is possible to achieve a good variation of the phase of the backscattered field with respect to variation of their mutual distance [17], hence having the chance to turn the RFID couplet into a deformation sensor. However, particular care has to be taken in order to limit the variation of the useful read range of the tags during the sensing process: as a matter of fact, coupling as well as detuning can worsen the power requirements of tags (i.e.…”
Section: A Theoretical Backgroundmentioning
confidence: 99%
“…For what concerns sensing, the phase of the tag n (n = 1, 2) of a couplet of symmetric tags can be expressed [17] as…”
Section: A Theoretical Backgroundmentioning
confidence: 99%
See 3 more Smart Citations