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Achieving robust damage mode identification of adhesive composite joints for wind turbine blade using acoustic emission and machine learning
Research article (Composite Structures, 2019) · cited 104× · AI/ML
Achieving robust damage mode identification of adhesive composite joints for wind turbine blade using acoustic emission and machine learning
Summary
Achieving robust damage mode identification of adhesive composite joints for wind turbine blade using acoustic emission and machine learning is a scholarly article[1].
Key Facts
Achieving robust damage mode identification of adhesive composite joints for wind turbine blade using acoustic emission and machine learning's instance of is recorded as scholarly article[2].
References
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APA4ort.xyz Knowledge Graph. (2026). Achieving robust damage mode identification of adhesive composite joints for wind turbine blade using acoustic emission and machine learning. Retrieved May 24, 2026, from https://4ort.xyz/entity/achieving-robust-damage-mode-identification-of-adhesive-composite-joints-for-wind-turbine-blade-using-acoustic-emission-
MLA“Achieving robust damage mode identification of adhesive composite joints for wind turbine blade using acoustic emission and machine learning.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/achieving-robust-damage-mode-identification-of-adhesive-composite-joints-for-wind-turbine-blade-using-acoustic-emission-.
BibTeX@misc{4ortxyz_achieving-robust-damage-mode-identification-of-adhesive-composite-joints-for-wind-turbine-blade-using-acoustic-emission-_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Achieving robust damage mode identification of adhesive composite joints for wind turbine blade using acoustic emission and machine learning}}, year = {2026}, url = {https://4ort.xyz/entity/achieving-robust-damage-mode-identification-of-adhesive-composite-joints-for-wind-turbine-blade-using-acoustic-emission-}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Achieving robust damage mode identification of adhesive composite joints for wind turbine blade using acoustic emission and machine learning — https://4ort.xyz/entity/achieving-robust-damage-mode-identification-of-adhesive-composite-joints-for-wind-turbine-blade-using-acoustic-emission- (retrieved 2026-05-24)
