Continuous video stream pixel sensor: A CNN‐LSTM based deep learning approach for mode shape prediction
Autor(en): |
Ruoyu Yang
(Department of Automotive Engineering Clemson University Greenville South Carolina USA)
Shubhendu Kumar Singh (Department of Automotive Engineering Clemson University Greenville South Carolina USA) Mostafa Tavakkoli (Department of Mechanical and Aerospace Engineering University at Buffalo Buffalo New York USA) Nikta Amiri (Department of Mechanical and Aerospace Engineering University at Buffalo Buffalo New York USA) M. Amin Karami (Department of Mechanical and Aerospace Engineering University at Buffalo Buffalo New York USA) Rahul Rai (Department of Automotive Engineering Clemson University Greenville South Carolina USA) |
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Medium: | Fachartikel |
Sprache(n): | Englisch |
Veröffentlicht in: | Structural Control and Health Monitoring, 2 Februar 2022, n. 3, v. 29 |
DOI: | 10.1002/stc.2892 |
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Datenseite - Reference-ID
10636895 - Veröffentlicht am:
30.11.2021 - Geändert am:
17.02.2022