Best practices for evaluating the capability of nondestructive evaluation (NDE) and structural health monitoring (SHM) techniques for damage characterization
Author(s) -
John C. Aldrin,
Charles Annis,
Harold A. Sabbagh,
Eric A. Lindgren
Publication year - 2016
Publication title -
aip conference proceedings
Language(s) - English
Resource type - Conference proceedings
SCImago Journal Rank - 0.177
H-Index - 75
eISSN - 1551-7616
pISSN - 0094-243X
DOI - 10.1063/1.4940646
Subject(s) - reliability engineering , sizing , reliability (semiconductor) , computer science , structural health monitoring , nondestructive testing , characterization (materials science) , key (lock) , set (abstract data type) , statistical model , data mining , engineering , machine learning , structural engineering , medicine , art , power (physics) , physics , materials science , computer security , quantum mechanics , visual arts , radiology , programming language , nanotechnology
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