Blind identification of full-field vibration modes from video measurements with phase-based video motion magnification
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- 作者：Yongchao Yanga ; yyang@lanl.gov" class="auth_mail" title="E-mail the corresponding author ; yangyongchaohit@gmail.com" class="auth_mail" title="E-mail the corresponding authorAuthor Vitae ; Charles Dornb ; charlesjdorn@gmail.com" class="auth_mail" title="E-mail the corresponding author ; Tyler Mancinic ; tylermancini@gmail.com" class="auth_mail" title="E-mail the corresponding author ; Zachary Talkend ; zrtalken@gmail.com" class="auth_mail" title="E-mail the corresponding author ; Garrett Kenyone ; gkenyon@lanl.gov" class="auth_mail" title="E-mail the corresponding author ; Charles Farrara ; farrar@lanl.gov" class="auth_mail" title="E-mail the corresponding authorAuthor Vitae ; David Mascareñ ; asa ; dmascarenas@lanl.gov" class="auth_mail" title="E-mail the corresponding authorAuthor Vitae
- 关键词：Operational modal analysis ; Non-contact measurements ; Video processing ; Blind source separation ; Motion magnification
- 刊名：Mechanical Systems and Signal Processing
- 出版年：2017
- 出版时间：15 February 2017
- 年：2017
- 卷：85
- 期：Complete
- 页码：567-590
- 全文大小：6099 K
文摘
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Develops a novel video measurement and processing based full-field operational modal analysis algorithm.
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Enables extraction and visualization of very high spatial resolution vibration modes.
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Requires no speckle paint or markers installed on structures' surface.
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Relatively efficient and automated implementations validated by lab experiments.