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Acoustic emission based damage localization in composites structures using Bayesian identification
Author(s) -
Amit Kundu,
Mark Jonathan Eaton,
S Al-Jumali,
Shirsendu Sikdar,
Rhys Pullin
Publication year - 2017
Publication title -
journal of physics. conference series
Language(s) - Uncategorized
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/842/1/012081
Subject(s) - acoustic emission , probabilistic logic , computer science , bayesian inference , residual , uncertainty quantification , bayesian probability , acoustics , algorithm , artificial intelligence , machine learning , physics

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