Automatic ultrasonic inspection for internal defect detection in composite materials (Articolo in rivista)

Type
Label
  • Automatic ultrasonic inspection for internal defect detection in composite materials (Articolo in rivista) (literal)
Anno
  • 2008-01-01T00:00:00+01:00 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#doi
  • 10.1016/j.ndteint.2007.08.001 (literal)
Alternative label
  • T. D'Orazio, M. Leo, A. Distante, C. Guaragnella, V. Pianese and G. Cavaccini (2008)
    Automatic ultrasonic inspection for internal defect detection in composite materials
    in NDT & E international
    (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori
  • T. D'Orazio, M. Leo, A. Distante, C. Guaragnella, V. Pianese and G. Cavaccini (literal)
Pagina inizio
  • 142 (literal)
Pagina fine
  • 154 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#numeroVolume
  • 41 (literal)
Rivista
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#numeroFascicolo
  • 2 (literal)
Note
  • ISI Web of Science (WOS) (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#affiliazioni
  • C. Guaragnella - DEE, Electrotechnology and Electronics Dept. Politecnico di Bari V. Pianese e G. Cavaccini- Alenia Aeronautica (literal)
Titolo
  • Automatic ultrasonic inspection for internal defect detection in composite materials (literal)
Abstract
  • The detection of internal defects in composite materials with non-destructive techniques is an important requirement both for quality checks during the production phase and in-service inspection during maintenance operations. Visual inspection allows only the analysis of surface characteristics of materials and, then, if internal faults occur inside composite structures, a deeper analysis is required. A comparison between the reactions of different materials to ultrasonic signals can be used to highlight the difference in the internal structures and also to detect the depth position of these anomalies. However, ultrasonic data are difficult to interpret since they require the analysis of a continuous signal for each point of the material under consideration. An automatic procedure is necessary to manage large data sets and to extract significant differences between them. In this paper, we address the problem of automatic inspection of composite materials using an ultrasonic technique. We consider two main steps for interpreting ultrasonic data: the pre-processing technique necessary to normalize the signals of composite structures with different thicknesses and the classification techniques used to compare the ultrasonic signals and detect classes of similar points. (literal)
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