Statistics – Applications
Scientific paper
Nov 2001
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2001spie.4491..320g&link_type=abstract
Proc. SPIE Vol. 4491, p. 320-326, Subsurface and Surface Sensing Technologies and Applications III, Cam Nguyen; Ed.
Statistics
Applications
Scientific paper
In this paper a two-port slot sensor for measuring the moisture content of sheetlike materials is proposed and analyzed. The sensor is of the resonant type and it mainly consists on a section of a slot-line interacting with the material under test (MUT) by means of radiative near fields. The most important design aspects of the sensor are discussed in relation to the dispersive behavior of the slot line and its radiative interaction with the MUT. The article deals with the full-wave numerical modeling of the interaction between the sensor and a moist felt, chosen as reference MUT. The parametric sensitivity to the distance between the slot radiating aperture and the MUT surface is also analyzed, since in the industrial environment the monitoring of the moisture content is usually performed by linearly scanning the sensor over the material surface. Finally, a calibration and measuring procedure based on the use of a neural artificial network is suggested and its accuracy is numerically evaluated.
Gentili Guido B.
Riminesi Cristiano
Salvador Claudio
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