HIGHLIGHTS
- What: The survey shows that the adoption of ML in SHM has greatly enhanced system capabilities, offering innovative solutions to various 2 research challenges. The tasks of damage detection and localization become significantly more challenging as system complexity increases, which is addressed in this work showcasing the application of AI-based SHM on a stiffened composite plate. For the localization concept presented in this work, the AI models are provided with the information from each path of the experimental setup independently.
- Who: Anastasiia Volovikova et al. from the (UNIVERSITY) have published the article: Artificial Intelligence . . .
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