Fast response and reliability are mandatory requirements in non-destructive tests specifically in aerospace industry, for safety and efficiency reasons. Currently, the adoption of composite materials, a fundamental technology for the green aircraft concept, is limited by the lack of a validated NDT technique for the assessment of adhesive bonds quality. The latter is hampered by panels surface contamination. E-noses equipped with PARC algorithms appear a promising choice to obtain a rapid surface contamination state assessment but their dependability should be carefully analyzed. In this paper, combining real time classifiers, we show how to obtain a rapid first-hand response for the operator, retaining the possibility of increasing accuracy awaiting for the end of the e-nose measurement cycle. A reject option is casted on the base of classifier self-perceived reliability to nullify false negatives while keeping the false positive rate at minimum. © 2014 IEEE.

Artificial olfaction tool and techniques for safety controls in aerospace assembly and maintenance

Di Francia, G.;Fattoruso, G.;Miglietta, M.;Buonanno, Antonio;Massera, E.;Salvato, M.;De Vito, S.
2014

Abstract

Fast response and reliability are mandatory requirements in non-destructive tests specifically in aerospace industry, for safety and efficiency reasons. Currently, the adoption of composite materials, a fundamental technology for the green aircraft concept, is limited by the lack of a validated NDT technique for the assessment of adhesive bonds quality. The latter is hampered by panels surface contamination. E-noses equipped with PARC algorithms appear a promising choice to obtain a rapid surface contamination state assessment but their dependability should be carefully analyzed. In this paper, combining real time classifiers, we show how to obtain a rapid first-hand response for the operator, retaining the possibility of increasing accuracy awaiting for the end of the e-nose measurement cycle. A reject option is casted on the base of classifier self-perceived reliability to nullify false negatives while keeping the false positive rate at minimum. © 2014 IEEE.
Aerospace industry;Industrial applications;Reject option;Ion mobility spectrometers;Hybrid sensor arrays;Electronic noses;Surface analysis
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Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/20.500.12079/4190
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