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Buckling Profile Acquisition for Modal Analysis Based on Computer Vision
並列摘要
As opposed to classical method of acquiring test data point by point in experimental modal analysis, computer vision method is adopted and studied in this work to offer full-field test data at once. The proposed method is validated by capturing geometric data of three buckled steel plates by camera, of which data is then used to generate the plates’ vibration modes. Comparing to the ideal geometry of the manufactured plates used in finite element analysis, the proposed method is validated to be effective in the study of vibrations of buckled components.
被引用紀錄
Francisco, R. S. J. (2013). 嵌入式裝置自動測試機制之準確度、效率與重複使用度研究 [master's thesis, National Chiao Tung University]. Airiti Library. https://doi.org/10.6842/NCTU.2013.00148
Yu, S. Z. (2012). 提升嵌入式系統圖形化介面測試之精確度 [master's thesis, National Chiao Tung University]. Airiti Library. https://doi.org/10.6842/NCTU.2012.00141
YingYu, W. (2012). 1920x1080@90fps 之深度運算設計與實作 [master's thesis, National Chiao Tung University]. Airiti Library. https://doi.org/10.6842/NCTU.2012.00102
Chien, C. J. (2017). 基於影像分割和多重影像線索之深度估計 [master's thesis, National Taiwan University]. Airiti Library. https://doi.org/10.6342/NTU201702666
Chen, Y. S. (2016). 基於全局相似轉換的猜測之自然影像拼接 [master's thesis, National Taiwan University]. Airiti Library. https://doi.org/10.6342/NTU201601069
延伸閱讀
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