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Artificial intelligence techniques for fault assessment in laminated composite structure: a review
2021
E3S Web of Conferences
There is a continuous quest in the research community for superior and more accurate methodology for fault diagnosis and condition monitoring of diverse composite structure. This is because, these structures suffer from various nonlinear mode of failures while in service those are recognised as delamination, voids, matrix crack etc. Early detection of failures is what the most research mainly aims at. In this regard, the implementation of Artificial Intelligence (AI) techniques has been proved
doi:10.1051/e3sconf/202130901083
fatcat:7trsuouhfnd7vd7zjqfwokmoem