title: Fuzzy similarity measures for detection and classification of defects in CFRP.
abstract: The systematic use of nondestructive testing assumes a remarkable importance where on-line manufacturing quality control is associated with the maintenance of complex equipment. For this reason, nondestructive testing and evaluation (NDT/NDE), together with accuracy and precision of measurements of the specimen, results as a strategic activity in many fields of industrial and civil interest. It is well known that nondestructive research methodologies are able to provide information on the state of a manufacturing process without compromising its integrity and functionality. Moreover, exploitation of algorithms with a low computational complexity for detecting the integrity of a specimen plays a crucial role in real-time work. In such a context, the production of carbon fiber resin epoxy (CFRP) is a complex process that is not free from defects and faults that could compromise the integrity of the manufactured specimen. Ultrasonic tests provide an effective contribution in identifying the presence of a defect. In this work, a fuzzy similarity approach is proposed with the goal of localizing and classifying defects in CFRP in terms of a sort of distance among signals (measure of ultrasonic echoes). A field-programmable gate array (FPGA)-based board will be also presented which implements the described algorithms on a hardware device. The good performance of the detection and classification achieved assures the comparability of the results with the results obtained using heuristic techniques with a higher computational load.
authors.forename: Diego
authors.initials: D
authors.lastname: Pellicanó
authors.forename: Isabella
authors.initials: I
authors.lastname: Palamara
authors.forename: Matteo
authors.initials: M
authors.lastname: Cacciola
authors.forename: Salvatore
authors.initials: S
authors.lastname: Calcagno
authors.forename: Mario
authors.initials: M
authors.lastname: Versaci
authors.forename: Francesco Carlo
authors.initials: FC
authors.lastname: Morabito
mesh_terms: D000465:Algorithms; D002244:Carbon / Q000032:analysis / Q000737:chemistry* / Q000145:classification; D000077482:Carbon Fiber; D004853:Epoxy Resins / Q000032:analysis / Q000737:chemistry* / Q000145:classification; D017143:Fuzzy Logic; D008422:Materials Testing / Q000379:methods*; D010363:Pattern Recognition, Automated / Q000379:methods*; D014463:Ultrasonography / Q000379:methods*
chemical_list: D000077482:Carbon Fiber; D004853:Epoxy Resins; D002244:Carbon