The systematic use of non-destructive testing is important both for on-line quality control during the production process and the maintenance of complex equipment especially in industrial applications. In such a context, the ultrasound imaging techniques cover an important role above all in those cases in which it is requested a great penetration depth. Starting from an experimental database (affected by uncertainties due to sampling and/or noise, so of clear fuzzy nature) , the authors propose a new approach aimed at the optimization of the operational parameters of ultrasonic phased array probes. the problem of optimization is translated in an equivalent problem of classification through a fuzzy similarity approach: different images produced by different probes are compared. The quality of the proposed procedure has been assessed comparing the obtained results also with SOM- type technique in which the parameters of similarity among neurons has been considered of fuzzy nature. Keywords—non- destructive evaluation, ultrasonic imaging, fuzzy similarity.

Fuzzy similarities for the optimization of the operational parameters related to ultrasonic phased array probes for industrial application / Calcagno, Salvatore; Cacciola, M; Palamara, I; Pellicano', D; Versaci, Mario; Acciani, G; Dimucci, A; Morabito, Francesco Carlo. - (2013), pp. 6622810.1-6622810.6. (Intervento presentato al convegno DSP 2013 18th INTERNATIONAL CONFERENCE ON DIGITAL SIGNAL PROCESSING tenutosi a Santorini , Greece nel 1-3 July) [10.1109/ICDSP.2013.6622810].

Fuzzy similarities for the optimization of the operational parameters related to ultrasonic phased array probes for industrial application

CALCAGNO, SALVATORE;VERSACI, Mario
;
MORABITO, Francesco Carlo
2013-01-01

Abstract

The systematic use of non-destructive testing is important both for on-line quality control during the production process and the maintenance of complex equipment especially in industrial applications. In such a context, the ultrasound imaging techniques cover an important role above all in those cases in which it is requested a great penetration depth. Starting from an experimental database (affected by uncertainties due to sampling and/or noise, so of clear fuzzy nature) , the authors propose a new approach aimed at the optimization of the operational parameters of ultrasonic phased array probes. the problem of optimization is translated in an equivalent problem of classification through a fuzzy similarity approach: different images produced by different probes are compared. The quality of the proposed procedure has been assessed comparing the obtained results also with SOM- type technique in which the parameters of similarity among neurons has been considered of fuzzy nature. Keywords—non- destructive evaluation, ultrasonic imaging, fuzzy similarity.
2013
978-1-4673-5807-1
fuzzy similarity; non destructive evaluation; ultrasonic imaging
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.12318/12661
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