Title :
Structural health monitoring using neural network based vibrational system identification
Author :
Sofge, Donald A.
Author_Institution :
NeuroDyne Inc., Cambridge, MA, USA
fDate :
29 Nov-2 Dec 1994
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;
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
DOI :
10.1109/ANZIIS.1994.396943