• DocumentCode
    2647449
  • Title

    Structural health monitoring using neural network based vibrational system identification

  • Author

    Sofge, Donald A.

  • Author_Institution
    NeuroDyne Inc., Cambridge, MA, USA
  • fYear
    1994
  • fDate
    29 Nov-2 Dec 1994
  • Firstpage
    91
  • Lastpage
    94
  • Abstract
    Composite fabrication technologies now provide the means for producing high-strength, low-weight panels, plates, spars and other structural components which use embedded fiber optic sensors and piezoelectric transducers. These materials, often referred to as smart structures, make it possible to sense internal characteristics, such as delaminations or structural degradation. We use neural network based techniques for modeling and analyzing dynamic structural information for recognizing structural defects. This yields an adaptable system which gives a measure of structural integrity for composite structures
  • Keywords
    composite materials; delamination; fibre optic sensors; identification; intelligent materials; intelligent structures; monitoring; neural nets; piezoelectric transducers; structural engineering; structural engineering computing; vibrations; adaptable system; composite fabrication technologies; delaminations; dynamic structural information; embedded fiber optic sensors; high-strength low-weight components; internal characteristics sensing; modeling; neural network based vibrational system identification; panels; piezoelectric transducers; plates; smart structures; spars; structural components; structural defect; structural degradation; structural health monitoring; structural integrity; Degradation; Delamination; Information analysis; Intelligent structures; Monitoring; Neural networks; Optical device fabrication; Optical fiber sensors; Optical materials; Piezoelectric transducers;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Information Systems,1994. Proceedings of the 1994 Second Australian and New Zealand Conference on
  • Conference_Location
    Brisbane, Qld.
  • Print_ISBN
    0-7803-2404-8
  • Type

    conf

  • DOI
    10.1109/ANZIIS.1994.396943
  • Filename
    396943