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An Experimental Technique for Structural Diagnostic Based on Laser Vibrometry and Neural Networks
Author(s) -
Paolo Castellini,
Gian Marco Revel
Publication year - 2000
Publication title -
shock and vibration
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.418
H-Index - 45
eISSN - 1875-9203
pISSN - 1070-9622
DOI - 10.1155/2000/891975
Subject(s) - artificial neural network , finite element method , vibration , computer science , set (abstract data type) , engineering , artificial intelligence , structural engineering , acoustics , physics , programming language
In recent years damage detection techniques based on vibration data have been largely investigated with promising results for many applications. In particular, several attempts have been made to determine which kind of data should be extracted for damage monitoring

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